Inferring and Negotiating User Goals: Adaptive Dialogue Planning Using Abduction
Adelheit Stein and Jon Atle Gulla
GMD-IPSI,German National Research Center for Information Technology–
Integrated Publication and Information Systems Institute
Dolivostr.15,D-64293Darmstadt,Germany
stein@darmstadt.gmd.de
Department of Computer Science,Norwegian University of Science and Technology
N-7034Trondheim,Norway
jag@idt.ntnu.no
Abstract
This paper presents an approach to adaptive dialogue planning in the framework of an intel-ligent information retrieval system(M IRACLE),which provides semantic access to multimedia
information via a WWW interface.The system uses abduction to infer users,interests and dia-
logue goals:ambiguous user queries are interpreted with respect to the semantic domain model
and unexpected dialogue acts are interpreted in light of the actual dialogue history.On the ba-
sis of these interpretations the system initiates a clari?cation dialogue offering the user suitable
follow-up moves for continuing the dialogue.Depending on the user,s choice,the system adapts
its dialogue strategy/plan for the next steps.
1Introduction
Finding relevant information in the enormous amounts of data available on the World Wide Web or provided by other online information sources is a dif?cult task,hence,many users encounter problems getting the speci?c pieces of information they are interested in.New user interfaces and search en-gines are being developed to facilitate access to these information repositories and to improve search ef?ciency.However,most of them concentrate on the improvement of the indexing and search meth-ods and on query formulation aspects(i.e.,the search task)but do not suf?ciently address other aspects of the human-computer interaction during retrieval.From our point of view,information retrieval is a highly complex interactive process that comprises other tasks as well:clarifying initially vague in-formation needs,expressing these needs,?nding appropriate retrieval tactics and strategies,assessing the relevance of retrieved information items,clarifying problems encountered during interaction,and negotiating the dialogue strategy.
Effective information retrieval(IR)systems must,therefore,also devise methods and techniques for effective support of the human–computer interaction.The complexity of today,s information sys-tems and the retrieval task demands a shift from passive interfaces to active support of the interaction in all phases of a retrieval dialogue.Current day state-of-the-art retrieval systems do provide various user support facilities,e.g.,terminological support/thesauri,query construction aids,techniques for automatic query expansion,etc.,but these are usually treated as isolated extra-dialogic functions.In our work we emphasize the dynamic aspects of the entire information retrieval process modeling it as a collaborative human-computer dialogue and hence as“conversational information retrieval”(see, for example,Stein et al.,1997a).
In:ABIS'97.Proceedings5.GI-Workshop Adaptivit¨a t und Benutzermodellierung in interaktiven Softwaresys-temen,Saarbr¨u cken.SFB378(READY),Memo65,1997,pp.127-137.
Related research to our work mainly stems from the?elds of intelligent multimedia informa-tion retrieval(see Ruthven,1996and Maybury,1997for recent collections)and intelligent human-computer collaboration(see Terveen,1995for a detailed review),and in particular,from AI-oriented approaches to collaborative activity/planning,discourse modeling/planning,and adaptive user https://www.doczj.com/doc/9711372592.html,putational models of collaborative discourse or dialogue have mostly been developed for natural language applications,such as text planning systems for advisory dialogues(e.g.,Moore and Paris,1993),task-oriented dialogue systems(e.g.,Traum and Hinkelman,1992;Traum and Allen, 1994;Grote et al.,1997),and spoken language systems(see Maier et al.,1997for a recent collec-tion).Focusing on the agents,beliefs and goals,most of the dialogue models and systems presuppose well-de?ned planning tasks,e.g.,travel planning or scheduling meetings.On the other hand,most state-of-the-art(multimedia)retrieval systems do not employ elaborate dialogue models and dialogue planning techniques.Although there is“little crossover”between such approaches in IR and AI(see Saracevic et al.,1997for a discussion with respect to user modeling),we believe that methods from discourse modeling/planning and intelligent information retrieval can feasibly be combined in a con-versational retrieval system.
2Interaction in the MIRACLE System
M IRACLE(Multimedia Information RetrievAl of Concepts in a Logical Environment)allows content-based retrieval of multimedia information and is available on the World Wide Web.It is implemented in C,Smalltalk,and Prolog and runs on system V and BSD platforms.The system currently provides access to large experimental databases in the domain of art history(Dictionary of Art,DoA)and project information of the European Community(the CORDIS databases).
Integrating an intelligent dialogue component into M IRACLE,we can relate the isolated func-tions of the system to larger tasks and help users satisfy their information https://www.doczj.com/doc/9711372592.html,ers are actively supported throughout the entire interaction on various levels.The system consists of three active components that make use of a strati?ed knowledge base.The retrieval and indexing components of M IRACLE support users to solve domain problems,i.e.,specify their information needs and?nd appropriate query(re)formulations,whereas the dialogue component mainly assists users at the meta-dialogic and strategic levels.The Abductive Dialogue Component(ADC)introduced in the remainder of this paper collaborates with the users at the level of dialogue control and“interaction management”(Bunt,1996),i.e.,it interprets ambiguous dialogue control acts of the user and provides mechanisms for deciding when it is suitable to take the initiative/dialogue control or when to pass it to the user. Furthermore,the ADC is able to reason about and negotiate suitable problem-solving strategies(or dialogue strategies)with the user and adapting the system,s strategy/plan to the current dialogue situ-ation.
Abduction is the inference mechanism used to infer information needs and dialogue goals from observations of the actual user behavior.Generally speaking,abduction creates hypothetical expla-nations of an observation(here:an ambiguous user input)in light of a domain theory(here:the internally available knowledge bases).M IRACLE,s abductive retrieval engine deals with ambigu-ous queries,reformulating and expanding such queries according to the database,s semantic domain model(see Stein et al.,1997a for examples).The abductive dialogue component,on the other hand, resolves ambiguous dialogue control acts of the user exploiting the dialogue history.
In this paper we focus on the adaptive dialogue planning and introduce the retrieval aspects only brie?y with an illustrative example.For a more detailed discussion of the retrieval mechanism and the interaction of the retrieval engine with the dialogue component we refer to Stein et al.(1997a). Consider the following example:At some point of a session the user enters an ambiguous query
like“Search for architects in Glasgow who were concerned with churches(as kinds of works of art)”.The user does so by?lling in a query form,i.e.,in this case the slots profession,town,and subject(of work of art).Interpreting this input,the retrieval engine offers four query interpretations. These differ from one another mainly with respect to the interpretation of the query attributes town and subject(see Figure1),whereas profession is unambiguous in M IRACLE.Concerning the town attribute,for example,the system offers to either look for artists who were born in Glasgow or died there;as to subject(a free text?eld),the interpretations differ according to the search method that could be applied,i.e.,partial string matching versus probabilistic retrieval using the I NQUERY full text retrieval system(Callan et al.,1992)or M IRACLE,s own multimedia indexing component(M¨u ller and Kutschekmanesch,1996).
Figure1:Query interpretations in M IRACLE
Figure1shows the second query interpretation generated by the retrieval component.It is pre-sented to the user in natural language,currently,by simply paraphrasing the relevant internal rules in the form of a list(future versions of the system will use more elaborate text generation facilities and/or structured graphical presentations).Rules that apply to all of the four query interpretations appear in the upper part,and the lower area includes active rules for the currently shown interpretation(black
bullets)as well as non-active rules(light-colored bullets)that apply to the other interpretations and are hightlighted when these are shown.
Notice that the middle part of the screen is reserved for presentations of the current dialogue state(here:query interpretations)and includes the local interaction options available within this state (sliders,hyperlinks,etc.).Future dialogue options that the system“recommends”in a given state are presented below(here:search database/execute current query interpretation).They change according to the traversal of the current dialogue script used(see Section3.2and particularly Figure3).Dialogue control options appear as an icon bar on top of the screen;they are globally available in any state but the functions invoked depend on the current local dialogue situation and the dialogue history,as will be shown in the next sections.
In our example the user chooses one query reformulation,adds as a further restriction style Art Nouveau,and presses the“search DB”button to execute the modi?ed query interpretation.As the user,s last restriction is unambiguous,the system instantiates this query accessing the domain database.Now,while the system is searching and generating the graphical presentation of the result set,the user—surprisingly—hits the“withdraw”button.Obviously,this dialogue control act is quite ambiguous,since the system is in no position to know what the user actually wants to withdraw(e.g., the last attribute restriction or her choice of query interpretation)and what to do next.Hence,the dialogue manager inspects the dialogue model and the dialogue history constructed so far to interpret the user,s intention and negotiate the further direction of the dialogue.How this is done making use of the dialogue knowledge bases will be explained in some detail in Section4after an introduction of the theoretical dialogue model in the next section.
3Two-Tiered Dialogue Model
To achieve a good combination of user guidance and interaction?exibility,our dialogue system relies on a comprehensive two-tiered model of dialogue.Dialogue scripts implement goal-directed informa-tion seeking strategies and decide who is in charge of the interaction and what are the recommended user acts for the current strategy.A general model of mixed-initiative dialogue,the Conversational Roles(COR)model,describes all of the communicative acts and moves available at any state of an in-formation seeking exchange—including control acts not contained in the scripts.Thus,the user may overrule the recommendations made in the current script.Monitoring the interaction between user and system and exploiting the dialogue history(or user model,cf.Stein et al.,1997b),the abductive dialogue component can recognize and interpret such deviations from the script.The system takes the initiative back and presents suggestions about what the user could do in this situation.
3.1Flexible Interaction Options
The COR model(cf.Sitter and Stein,1996)de?nes about14types of communicative acts/moves(see Figure2)that occur in cooperative information seeking interactions and describes potential dialogue options for the two participants based on general conversational rules and role https://www.doczj.com/doc/9711372592.html,r-mation seeker and information provider either commit themselves to do some action(e.g.,offer or promise to search and provide information)or they perform a directive act(e.g.,request for action or information)—mutually expecting that pending commitments made are met or retracted(withdrawn or rejected)in a cooperative way.
Figure2:The COR dialogue network
The basic units of the dialogue are atomic acts,i.e.,the actual graphical or linguistic contributions of the participants.They are categorized according to their main purpose(illocutionary point).A di-alogue act is the nuclear element of a superordinated complex move(e.g.,an offer in the offer move). Moves may recursively contain other optional transitions(e.g.,other moves and(sub)dialogues)and even the entire move may be omitted in certain situations(for details on the move networks see Sit-ter and Stein,1996;Stein et al.,1997a).The COR model of the entire dialogue is represented as a recursive transition network(Figure2),which consists of dialogue states and transitions between the states,i.e.,the moves.Note that in retrieval dialogues the moves request,offer,and inform have a forward directed task-oriented function,since they change the semantic context of the emerging dialogue.The other moves have“dialogue control functions”(Bunt,1996)giving,for example,posi-tive or negative https://www.doczj.com/doc/9711372592.html,ing the COR model,we can represent the interrelations between moves and acts in a complexly structured dialogue history.As all potential interaction options in any state are also accounted for,we can describe?exible interaction patterns occuring in information seeking dialogues.
3.2Global Dialogue Structures
To decide which of the possible dialogue options and“paths”in a dialogue should be preferred in a particular dialogue context we employ a battery of dialogue scripts which provide the necessary user guidance.Dialogue scripts are executable representations of distinguished information seeking
strategies(cf.Belkin et al.,1995).They describe particular sequences of dialogue acts/steps that are recommended to ful?ll a speci?c task(see Figure3).
Figure3:Structure of two sample scripts
A dialogue script describes all possible system actions and all recommended user actions at the various stages of the retrieval dialogue.We use a recursive transition network formalism with precon-ditions and postconditions to represent scripts,and the transitions contain references to COR dialogue acts.The preconditions decide when an act is available,whereas the postconditions ensure that the necessary actions are executed by the system.
Figure3displays two sample scripts:S1is the standard script used to govern retrieval interactions in the M IRACLE system,whereas S2is a script used by the abductive dialogue component to structure special types of meta-dialogues.In the small sample dialogue given in Section2these two scripts were instantiated one after the other to guide the interaction.The user?rst posts a query,which is then analyzed by the system.S1displays the optional dialogue steps in this situation:If different query interpretations can be presented,the system initiates a subdialogue asking the user to choose the correct one(transitions2and3);if there is no interpretation of the query,the system rejects the execution of the query and then initiates a new dialogue cycle offering a list of options of what can be
done in this situation.After the system has generated its query interpretation(s)the user may either select one of these interpretations to be executed,i.e.,searching the underlying database(4),or choose to modify the query form(8).If(4)is preferred by the user,the system presents the data retrieved from the database and tells the user what can be done next,and so on.Script S2is triggered when the user has entered an ambiguous dialogue control act that is not contained in the current script(S1in our example).The system presents possible interpretations of this act(withdraw in our example)in terms of concrete actions that the user may do next.
4Planning and Adapting the Dialogue
At the beginning of a dialogue,the dialogue maneger initializes the COR model and a selected script. As the dialogue develops,transitions in the script are?red,and their associated COR acts are used to change the state of the COR model.By collecting all possible transitions leading out from the active state of the script,the dialogue manager can present a list of recommended dialogue acts to the user. The COR model describes the general conversational state of the dialogue and gradually builds up a structured history of dialogue acts performed by system and user.As long as the user follows the recommendations,the transitions in the script decide who has the next turn.
However,the user is not forced to choose among the acts included in the script.She can suspend the script and take the initiative herself by selecting a dialogue control act from the COR model.Since these acts are not directly concerned with the retrieval task,they have to be interpreted in light of the dialogue context.The withdraw acts in the COR model,for example,are not included in any script, but can be selected by the user to change or cancel previous acts.Acts not included in the script are referred to as unexpected acts and are analyzed by the dialogue component using abduction and the dialogue history.
4.1Dialogue Knowledge Sources
The task of an abductive system is to?nd potential facts(forming a hypothesis)that would explain a given observation.If the hypothesis is true,it logically implies the observation.A domain theory de?nes the concepts found in the observation and establishes logical relationships with other concepts. Concepts that are not de?ned by the theory are referred to as abducibles,and these can be included in the hypothesis explaining the observation.
The observation to be explained by the abductive dialogue component(ADC)is the unexpected act of the user.The domain theory consists of dialogue control rules(see Figure4).In order to offer the user a simple,but general set of dialogue options of how to continue,these options are to be interpreted in a particular context.Here,the context is the dialogue history,and the dialogue control rules map from concrete system actions and properties of the dialogue history to generic COR acts like withdraw and quit.When he user performs an unexpected act,the ADC generates a hypothesis that together with the history and the dialogue control rules imply the unexpected act:
History Dialogue control rules Hypothesis Unexpected act The hypothesis is a set of concrete actions that—if the user really wanted to do these actions—explains why the user chose that particular unexpected act in this context.In most cases,there are
(1)request(X,Y,Z,W) ∧ change_act(request(X,Y,Z,W)) → withdraw(request(X,Y,Z,_))
If the user has posted a request and would like to change the request, she hits withdraw.
(2)suspend_script ∧ no_results → withdraw(request(u,s,r,_))
If the user wants to suspend the script and has no results, she withdraws her request.
(3)redo(X) → change_act(X)
If the user redoes an act, she changes the original act.
(4)extend(request(X,Y,Z,query(Q))) → change_act(X,Y,Z,query(Q)))
If the user extends a previous query, she changes the original query.
(5)? inform(X,Y,Z,interpretation(_,_)) ∧? inform(X,Y,Z,result(_)) → no_results
If no interpretations of queries or database items have been presented, there are no results.
Figure4:Some dialogue control rules
several hypotheses that imply the unexpected act from the user.Each hypothesis forms an interpre-tation of the act(cf.Hobbs et al.,1993),and the user has to decide afterwards which one she?nds closest to her intentions.
Figure4shows dialogue control rules that are relevant to our example.As seen in rules(1)and(2) in Figure4,for example,a withdraw act can be interpreted as a withdrawal of the previous query or as discontentment with the active script.The abducibles here are concrete actions that might have been intended when the user submitted the COR withdraw act(in Figure4the predicates redo/1,extend/1 and no results/1are abducibles).
4.2Abductive Inference Process:An Example
Script S1(Figure3)is used to structure the interaction for retrieving information items from the database.The user enters a query and the system tries to map the query terms onto the structures of the underlying domain database.Consider a situation like in our example above,where the user realizes at some point that she has made a mistake(e.g.,entered a wrong search term)and hits the “withdraw”button.There is,of course,no such thing as a recommended withdraw act in any of the scripts.Such acts are provided by the general COR model(and presented as interface buttons on the M IRACLE screen)in order to allow the user to get out of the guidance offered by script S1.
For simplicity,let us assume that the user hits“withdraw”immediately after having submitted the?rst query.In this case the dialogue history only contains the query,i.e.,the user,s request for information:request(u,s,r,query())(the content of the query/1predicate is not shown here). The following withdraw(request(u,s,r,query()))is the unexpected user act,which is analyzed by the abduction engine.The dialogue component uses the dialogue control rules(see Figure4above)in the reverse direction to?nd a possible proof for the user,s“withdraw”.A proof tree is complete when all concepts that are not deduced,are either abducibles or con?rmed by the dialogue history. In our simple example three proof trees are constructed(see Figure5)and the system presents the corresponding interpretations to the user in natural language,e.g.,“Do you want to(a)extend or
modify your previous query,(b)?ll out a completely new query,or(c)forget your previous query and start a new session?”.
Figure5:Three interpretations of the“withdraw”act
Presenting the interpretations and asking the user which interpretation she intended,script S2is instantiated to negotiate about the direction of the subsequent dialogue.Depending on the user,s choice of interpretation,the system either goes back to the appropriate step in the retrieval script S1(presenting the old query for modi?cation or a new query form)or the system initiates a new (meta-)dialogue to negotiate for a new strategy and script.
Other dialogues that are more complex than our simple example are treated basically in the same way,but additional mechanisms are needed to deal with very complex dialogue histories.In a longer retrieval session,for example,there might be several interconnected(sub)queries and result sets; hence,the system has to reason about what to do with these queries and results.Additionally,not all of the acts in a large history are necessarily relevant for the interpretation of later unexpected acts. The ADC has to provide mechanisms that can deal with these problems,e.g.,deciding what should be stored in the dialogue history for later use and what can be neglected for the dialogue planning. However,we are con?dent that the ADC can handle complex retrieval dialogues as well due to the ?rm logical system employed.
5Conclusions
We have presented the dialogue component of an intelligent information retrieval system,that creates assumptions about the user through discourse and makes use of these assumptions to plan and adapt the subsequent interaction.Based on a comprehensive dialogue model,the dialogue component dy-namically constructs a complex history that represents the intentional and attentional structure of the discourse.The dialogue system uses abuctive reasoning in order to interpret unexpected or ambigu-ous user acts in light of the dialogue history and the current context.Based on these interpretations it offers the user a set of suitable options of how to continue the dialogue and—depending on the user,s choice—adapts or modi?es the subsequent dialogue plan.
Future work includes the extension of the dialogue control rules used by the abductive dialogue component(ADC)in order to cover more speci?c dialogue situations and to be able to deal with more complex dialogue histories than at the time being.As this heavily depends on the functionality of the retrieval system as a whole,the interaction between the ADC and the retrieval component has to be improved as well as the user interface to account for more?exible retrieval dialogues. References
Belkin,N.J.,Cool,C.,Stein,A.,and Thiel,U.(1995).Cases,scripts,and information seeking strategies:On the design of interactive information retrieval systems.Expert Systems and Applications9(3):379–395. Bunt,H.C.(1996).Interaction management functions and context representation requirements.In LuperFoy, S.,Nijholt,A.,and van Zanten,G.,eds.,Dialogue Management in Natural Language Systems.Proceedings of the Eleventh Twente Workshop on Language Technology,187–198.Enschede,NL:Universiteit Twente.
Callan,J.P.,Croft,W.B.,and Harding,S.M.(1992).The INQUERY retrieval system.In Proceedings of the3rd International Conference on Database and Expert Systems Application.Berlin and New York: Springer.78–83.
Grote,B.,Hagen,E.,Stein,A.,and Teich,E.(1997).Speech production in human-machine dialogue:A natural language generation perspective.In Maier,E.,Mast,M.,and LuperFoy,S.,eds.,Dialogue Processing in Spoken Language Systems.ECAI'96Workshop,Budapest,Hungary.Berlin,Heidelberg and New York: Springer.70–85.
Hobbs,J.R.,Stickel,M.E.,Appelt,D.E.,and Martin,P.(1993).Interpretation as abduction.Arti?cial Intelligence63(1-2):69–142.
Maier,E.,Mast,M.,and LuperFoy,S.,eds.(1997).Dialogue Processing in Spoken Language Systems.
ECAI'96Workshop,Budapest,Hungary.Berlin and New York:Springer.
Maybury,M.T.,ed.(1997).Intelligent Multimedia Information Retrieval.Menlo Park,CA:AAAI Press/MIT Press.
Moore,J.D.,and Paris,C.L.(1993).Planning text for advisory dialogues:Capturing intentional and rhetorical https://www.doczj.com/doc/9711372592.html,putational Linguistics19(4):651–694.
M¨u ller,A.,and Kutschekmanesch,S.(1996).Using abductive inference and dynamic indexing to retrieve multimedia SGML documents.In Ruthven,I.,ed.,MIRO95.Proceedings of the Final Workshop on Multi-media Information Retrieval.Berlin and New York:Springer(eWiC,electronic Workshops in Computing series).
Ruthven,I.,ed.(1996).MIRO95.Proceedings of the Final Workshop on Multimedia Information Retrieval.
Berlin and New York:Springer(eWiC,electronic Workshops in Computing series).
Saracevic,T.,Spink,A.,and Wu,M.-M.(1997).Users and intermediaries in information retrieval:What are they talking about?In Jameson,A.,Paris,C.,and Tasso,C.,eds.,User Modeling:Proceedings of the Sixth International Conference,UM'97.Vienna and New York:Springer Wien New York.43–54.
Sitter,S.,and Stein,A.(1996).Modeling information-seeking dialogues:The conversational roles(COR) model.RIS:Review of Information Science(online journal)1(1).Available from http://www.inf-wiss.uni-konstanz.de/RIS/...Extended and revised version of:Modeling the illocutionary aspects of information-seeking https://www.doczj.com/doc/9711372592.html,rmation Processing&Management1992,28(2):165-180.
Stein,A.,Gulla,J.A.,M¨u ller,A.,and Thiel,U.(1997a).Conversational interaction for semantic access to multimedia information.In Maybury,M.T.,ed.,Intelligent Multimedia Information Retrieval.Menlo Park, CA:AAAI/The MIT Press.399–421.
Stein,A.,Gulla,J.A.,and Thiel,U.(1997b).Making sense of user mouse clicks:Abductive reasoning and conversational dialogue modeling.In Jameson,A.,Paris,C.,and Tasso,C.,eds.,User Modeling: Proceedings of the Sixth International Conference,UM'97.Vienna and New York:Springer Wien new York.89–100.
Terveen,L.G.(1995).Overview of human-computer collaboration.Knowledge-Based Systems.Special Issue on Human-Computer Collaboration8(2-3):67–81.
Traum,D.R.,and Allen,J.F.(1994).Discourse obligations in dialogue processing.In Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics(ACL'94),1–8.
Traum,D.R.,and Hinkelman,E.(1992).Conversation acts in task-oriented spoken https://www.doczj.com/doc/9711372592.html,putational Intelligence8(3):575–599.
帮妈妈做家务500字作文五篇 妈妈平时为家操劳，我们可以帮妈妈做点家务减轻她的负担。下面是橙子为您带来的是帮妈妈做家务感受作文，希望对您有所帮助。 篇一：帮妈妈做家务今天妈妈下班非常早，下午下课了她把我接上后对我说：“贞贞，今天妈妈回家给你做好吃的。”我迫不及待的问妈妈：“什么好吃的呀？”“回家你就知道了，但是，你必须先把作业做完以后才能吃，否则不许吃饭，好吗？” 我为了吃上好吃的，到家以后我就赶快把作业拿出来，做了起来。妈妈就在厨房里忙起来了。 等我把作业做完以后，到厨房一看，妈妈正在和面，她看到我以后对我说：贞贞快来帮忙。然后就把厨房里的围裙拿了出来，给我围上了。“做什么？妈妈。”今天妈妈给你做豆沙包吃，好不好？我一听，高兴地蹦了起来，因为我最爱吃豆沙包了。你把这个大盆端到客厅去，用筷子把盆里的陷搅一搅，一定要把陷搅匀呀！知道了吗。 经过我和妈妈的努力不一会儿就把豆沙包包好了，然后我们就把包好的豆沙包放进了微波炉里，定好时间。哎呀！就等香喷喷的豆沙包出炉了。这时候再看我们俩个人，手上、身上、脸上及头上全都是白面粉，简直就成了一个小雪人了。我和妈妈都笑了。 时间过得好慢啊！等啊等啊，终于香喷喷的豆沙包就要出炉了。妈妈打开微波炉，把豆沙包拿了出来，可是一看，我们做的豆沙包和
市场上买的不一样呀！因为市场买的是圆形的，可是我们做的却是扁扁的，这是怎么一回事儿呢？经过我们认认真真的分析以后，觉得问题应该出在面粉上，因为我们和面时放水太多了，面软了，在烤制的过程中就变成扁扁的了。虽然形状不好看，但是吃起来还是蛮好吃的吗！毕竟这是我们的劳动成果呀！ 希望小朋友们都要帮妈妈多做点家务，给妈妈减轻点负担。这样我们才是一个好孩子。 篇二：帮妈妈做家务今天，妈妈在家大扫除，我看着妈妈一会整理房间，一会擦桌子，忙得上气不接下气，我见妈妈每天都这样忙忙碌碌的，得多吃亏损呀！于是，我产生了一个念头，如果我能帮妈妈分担一些家务活，妈妈就会不这么累了吗？ 于是，我二话不说，卷起袖子，拿起抹布和洗洁精，就开始擦玻璃了。我先将抹布打湿，拧干，再将洗洁精洒在玻璃上，又用湿毛巾将污点全部擦干净，最后，再用干毛巾将洗洁精擦干净，这样，一块洁净的玻璃就出来了。 接着，我拿出扫把，准备帮妈妈妇地。我将我平时乱丢乱放的玩具和零食，放回该放的位置后，我就用扫把仔仔细细、认认真真打扫一遍后，把垃圾扫入灰斗中，再倒入垃圾桶里，再将拉圾倒入垃圾堆中后，扫地任务也完成了。 我再拿来拖把，将地板拖得干干净净、一尘不染。 拖完地后，我拿几双脏兮兮的鞋子，开始洗鞋，我先将鞋子打湿，再将鞋子洒上泡沫，然后我拿出刷子来，将鞋子的里里外外、上上下
A: Hi, Wu, what's up B: I am reading, see it's a good book. A: Well, I see. "历史深处的忧虑林达著" what's the book about B: It's about the different culture and life view between Chinese and American. A: Oh, cool, I know a lot about that have been working along with some American guys a long time. B: So tell me how A: First in China, if you get good benefit from your boss, you should not show you up, people will jealous and even do you sometimes. But in America, you should not worry about it, everybody will thumb up to you if you get good benefit by your hard work. It's more easy and open to deal with American, but it's so hard to deal with some Chinese guys. B: Hmmm, sometimes.... A: Second in China, if you are working hard, you will be jealous in most times. They will talk about your in the back, and maybe doubt what you want. It's seldom happening in America or other Western country. B: Well, it's.... A: Okay, Ancient China is the most beautiful and powerful country in the world, I think even today the Western will not get that culture in mind. (ring) Sorry, I get a call, see you later. B: See you.. A: oh! My God! Fancy meeting you here.A: 哦，天啊！太巧了，在这儿碰到你。B: Yes, what a surprise! We haven't seen each other almost half a year.B: 是呀！真没想到。我们已有半年没见了吧。A: Almost. Where are you heading nowA: 差不多。你去哪儿B: Oh. I'm going to attend a meeting about making Chinese culture various and globalized.B: 哦，我正要参加一个关于使中国文化多样化和全球化的会议。A: It's so significant. The east and west culture is a comparatively separate value system of their own society, and each style of culture has advantages and dregs. So the two cultures should nourish and benefit each other.A: 这会议很有意义。东西方文化是适应它们各自社会的相对独立的价值体系，每一种文化都有它们自己的优点和不足，因此，两
小蜜蜂的作文100字 导读：篇一：小蜜蜂 一个阳光灿烂的早晨，小蜜蜂高高兴兴去采蜜。 他想：今天肯定花开得特别多特别美。没想到，刚刚飞过一个荷花池，突然，乌云密布，不一会儿，电闪雷鸣，雷声隆隆，大雨哗哗。小蜜蜂想：来不及回家，我得赶快找个避雨的地方。于是他马上躲在一片荷叶下。这把伞真不错。小蜜蜂一点儿都没有淋到雨。还好不久雨就停了。小蜜蜂大声说：“谢谢太阳公公!” 这个早晨他采的蜜比往日还多。 篇二：一只小蜜蜂 上语文课的.时候，一只小蜜蜂从窗外飞了进来，我想那只小蜜蜂可能是迷了路。蜜蜂在倪瑜跃的头上飞来飞去，好像把倪瑜跃像小花一样，他来采蜜了。 倪瑜跃和蜜蜂玩起了猫抓老鼠的游戏，张老师和同学们看到都笑了。 篇三：快乐的小蜜蜂 周末两天，我每天中午洗碗，擦桌子。 洗碗不难洗，先把碗用水冲一下，然后用海绵擦上洗洁精，最后用清水将泡沫冲干净，把碗翻过来抖一抖，放入盆里晾干。擦桌子也很方便，先用毛巾将桌子上的垃圾收集起来扔到垃圾桶里，冲一冲毛巾，再擦一遍桌子，将毛巾洗干净就可以了。 我好快乐啊，可以帮帮妈妈做家务。
篇四：一只小蜜蜂 上语文课的时候，嗡嗡嗡一只小蜜蜂从窗外飞了进来。只见那只小蜜蜂在倪瑜跃的头上飞来飞去，好像把倪瑜跃当成了小花一样。 倪瑜跃吓坏了，一个劲儿东躲西藏，和蜜蜂玩起了躲猫猫的游戏。他的动作引起了大家的注意。老师和同学们看到都笑了。 篇五：有趣的小蜜蜂 上课了，我们突然发现了一只小蜜蜂飞进了教室。李老师大喊一声：“看!”大家转头一瞧，发现了一只小蜜蜂在教室的窗上爬，不知它在干什么，可真有趣。我仔细地观察，发现它着急地趴在窗户上：“bzzzbzzz”的叫，我想，小蜜蜂在说：“我要飞回大自然，但我爬不出去，谁来帮帮我!”它爬了半天还是没有爬出去。最后，李老师说：“它一定能靠自己的本领爬出去的。” 不一会儿，小蜜蜂不见了，它终于爬出去了，飞回了大自然的怀抱中。 多么有趣的小蜜蜂啊! 有关小蜜蜂的作文100字 1.有关小蜜蜂的作文500字 2.有关写小蜜蜂的作文 3.有关小蜜蜂的作文 4.和小蜜蜂有关的作文 5.《小蜜蜂》作文 6.小蜜蜂的作文
大学英语口语课教案 【篇一：大学英语口语课程教案】 大学英语口语课程教案 学院：外国语学院 学期： 2008-2009学年第一学期 学时 18 教材《大学英语基础口语教程第一册》 （let’s talk book 1） 授课教师大学英语口语精品课程组 授课对象 2008级普本 上课地点南、北校区、学院路校区 上课时间周一至周五 授课题目（teaching title）： unit 12 foreign customs 授课类型(class type)： lecturing and practice 授课课时安排（teaching periods）： 2 periods 本授课单元教学目标(teaching objectives)： in this unit students are required to: 1.master the basic vocabulary related to western wedding.
2.learn to describe the different manners between chinese and western customs. 3.learn the proper way to behave in western society. 本授课单元教学重点(main points of teaching)： 1.instruct students to speak and behave properly in western society concerning some important events. 2.analyze the different manners between chinese and western countries. 本授课单元教学难点(difficult points of teaching)： instruct the students to use cultural-related words to describe and compare the proper manners in chinese and western events.教学手段(teaching aids) multimedia (audios, videos, pictures, texts), blackboard. 本授课单元教学步骤及时间分配 (teaching procedures and time allotment)： 1. warming-up activities (about 15 minutes) 1.1 role play: a typical western wedding (about 10 minutes) student are assigned the task in the previous class. they are asked to perform a typical western wedding. useful materials and information should be collected before the class. (about 10 minutes)
Study English (1.1) A: Oh, hey, you look so worried, what's wrong? B: Um... Well, in fact, it's about my English. A: English? Is there something wrong with your English? B: Yes.Although I am always working hard in my English. I can't get a good mark in the test. A: That's why you are so upset? B: I think so. A: Well, guy, could you listen to my opinions? B: Of course. A: First, you should be absorbed in the class and summarize the main point what the teacher says... B:Yes,I do,But sometimes I can't keep up with teacher, A: Hey, listen to me.You don't need to write down all the things.When you are listening,just write down the long point and only the important parts. B:OK, and what? A:Secondly, you must be abiding and as soon as you meet a problem, go ahead to have the teacher to solve.Only if you do this, you can make it. B: Oh, I will take it from now on and thank you very much. A: That's all right. Likes and dislikes (1.3) A: Do you have any hobbies?What are they? B: I'm interested in reading or other relaxing sports. A: How do you spend your spare time? B: I usually read some books or do so some sports. A: What kind of book you are interested in? B: My favorite books are those of detectives. A: Well, those books are really good.I like them too.Do you think you are introverted or extroverted? B: In fact, I wouldn't call myself extroverted. Sometime I enjoy being by myself very much. But other times, I like sharing activities with others too, especially during these past few years. A: What kind of sports do you like? B: I like almost all sports, and I enjoy both playing and watching.I specially like tennis and mountain climbing. A: What kind of personality do you think you have? B: Well, I approach things very enthusiastically. I reckon, and I don't like to leave anything half-done. It makes me nervous—I can't concentrate on anything else until the first thing is finished. A:Really?Maybe I should learn from you. Oh, I remember I have something to do after a while, so I must say goodbye to you. B:OK, see you next time.
大学英语口语课教案
大学英语口语课教案 【篇一：大学英语口语课程教案】 大学英语口语课程教案 学院：外国语学院 学期：2008-2009学年第一学期 学时18 教材《大学英语基础口语教程第一册》 （let’s talk book 1） 授课教师大学英语口语精品课程组 授课对象2008级普本 上课地点南、北校区、学院路校区 上课时间周一至周五 授课题目（teaching title）： unit 12 foreign customs 授课类型(class type)： lecturing and practice 授课课时安排（teaching periods）： 2 periods 本授课单元教学目标(teaching objectives)： in this unit students are required to:
1.master the basic vocabulary related to western wedding. 2.learn to describe the different manners between chinese and western customs. 3.learn the proper way to behave in western society. 本授课单元教学重点(main points of teaching)： 1.instruct students to speak and behave properly in western society concerning some important events. 2.analyze the different manners between chinese and western countries. 本授课单元教学难点(difficult points of teaching)： instruct the students to use cultural-related words to describe and compare the proper manners in chinese and western events.教学手段(teaching aids) multimedia (audios, videos, pictures, texts), blackboard. 本授课单元教学步骤及时间分配(teaching procedures and time allotment)： 1. warming-up activities (about 15 minutes) 1.1 role play: a typical western wedding (about 10 minutes) student are assigned the task in the previous class. they are asked to perform a typical western wedding. useful materials and information
口语对话 1 赶时髦(go after fashion) A: Fashion show is around the corner, I’m so excited! 时装表演即将来临，我很兴奋！ B: Are there any good!这有什么好的！ A: I didn't see anything wrong with the clothes; they looked pretty nice to me. I think you don’t like it! Why?我没看出衣服有任何问题；在我看来它们都很不错。我觉得你不喜欢！为什么？ B: It was dumb. I think it's stupid for women to wear clothes like that. 这是愚蠢的。我认为女人们穿成那样是很愚蠢的。 A: The benevolent see benevolence and the wise see wisdom. 仁者见仁，智者见智。B: Do you really think people can wear that stuff and walk around the streets? 你真的认为人们可以穿那种东西走在街上？ A: Yes, I do. At least, some people certainly can. They wear high-fashion clothes to show off their sense of style and wealth. 是的，我这样认为。至少，有人一定会。他们穿着时尚的衣服展示他们的时尚感和财富。 B: Well. I still think they're dumb. It makes more sense to spend the money on more practical purposes.我仍然认为他们是愚蠢的。把更多的钱花在更有意义的地方比较实际。 A: So you think it's bad if I wear it?所以你认为我穿成这样很不好吗？ B: If you wear it I must speak nice! 如果你穿成这样我一定说它很好看！ A: I know you will say that.我就知道你会这样说。 B: Only you know me!知我者非你莫属！
大学英语口语课程介绍 课程背景： 为进一步推动我国大学英语教学，适应国家改革开放的需要，使大学生更加重视英语口语学习，获得更强的英语口语交际能力。 课程概况： 通过该课程的学习，使学生通过形式多样的语言技能训练，能就日常生活中常用的话题用比较简单的英语准确地表达自己的思想。以达到在具体的社会语境中得体地使用语言的目的。并通过法律环境下的语言教学来提高用英语从事涉外业务的水平，内容包括公共道德、人际关系、生活习惯、校园生活、旅游观光、环保购物、留学求职等。另根据学生的专业、兴趣和未来职业需求，增加外交礼仪，运用英语处理涉外警务活动等内容。 课程性质与任务： 本课程为一门重要的必修的基础技能课程，主要通过课堂口语实践，充分唤起学生学习英语的兴趣。使学生通过吸收丰富的预料，快速提高听说能力，深入了解各国文化和社会知识，训练学生用英语进行思考，有效培养他们的英语交际能力。 教师要根据我校应用型人才培养目标，对课程进行认真研究、深入挖掘。结合课程特点、教学内容和当前形势及现实生活，对学生进行人生观、世界观、价值观和思想道德品质教育，努力使学生在获得知识的同时学会做人的道理。 课程的目的与基本要求： 本课程的教学目的是通过大量的口语练习和实践，逐步培养和提高学生用英语进行口头交际的能力。同时帮助学生了解主要英语国家的文化和生活习俗。通过本课程的学习，学生应能就日常生活中的一般情景进行恰当的交谈，能就社会生活中的一般性话题进行连贯的发言，能比较准确地表达自己的思想，做到语音准确、语调自然、语法基本正确，语言运用基本得体。将语言技能、语言知识、文化意识等要素有机地结合起来，相互促进、循序渐进，帮助学生最终实现交际的目的。 本课程要求学生能够运用已掌握的词汇、句型和常用表达法，结合个人实际，较为流畅地就一些常见话题发表个人见解。大多数学生应能通过本门课程的学习
我会做家务500字作文：3篇 我会做家务500字作文篇一：以前喝的豆浆都是妈妈在市场买的，不知道豆浆是怎样做出来的，也没有想过要学做豆浆。但是今天，我学会了，喝起来比市场买的甜多了，香多了，心里很有成就感。 早上的时候，婶婶问我会不会打豆浆?想不想学打豆浆?诗诗姐姐会打豆浆，如果我想学的话，让诗诗姐姐教我，我连忙说好。 终于到了打豆浆的时候了，我兴奋地把诗诗姐姐叫来，让她教我打豆浆。准备的工具有：装豆浆的大杯子、黄豆、一双筷子、白沙糖，最后还有一样很重要的东西豆浆机。 首先，黄豆用水清干净，装进装豆浆的大杯子里，之后把豆浆机清理干净，把黄豆装进豆浆机里，盖上盖子，插上电源，大约20人分钟就可以了。就在等待的时候，把一勺白糖倒进装豆浆的杯子里，20分钟过去了，豆浆弄好了，把热腾腾的豆浆装进大杯子里搅拌均匀，一杯香甜的豆浆就出来了。 自己亲手做的豆浆果然很好喝，我学会了自己做豆浆，真开心! 我会做家务500字作文篇二：在寒假期间，我帮外婆做了一件家务事。 我在外婆家度寒假。有一天，外公外婆不在家。我做完作业，想起了在街上听到的大人们的议论声：“现在的孩子吃的好，穿的
好，都不爱劳动，个个像小公主、小王子一样!”我可不想做小公主，我也要学着帮外婆做些事。我想：“我能帮外婆做点什么事呢?”我开始四处寻找，忽然，目光落到了玻璃窗上，只见玻璃上有许多灰尘。于是，我决定擦玻璃。 首先，我准备好抹布、旧报纸，再用脸盆盛满水。一切准备就绪，我就开始擦玻璃。 我看着窗户上的灰尘，心想：这些灰尘，用干抹布、湿抹布擦都不行，用什么呢?我忽然看见了阳台上浇花的喷壶，何不先用喷壶喷喷水呢?说干就干，我双手紧握着喷壶，用力的喷向玻璃，玻璃上落满了水雾。一会儿，灰尘都湿透了，我就把抹布浸湿，拧干，在玻璃上一上一下按顺序擦。湿抹布擦完以后，灰尘虽然没有了，可玻璃上却留下了一道道水迹。我赶紧拿来报纸，全面认真地干擦一遍。干擦完之后，水迹就完全消失了。 玻璃终于被我擦得干干净净，看着自己的劳动成果，心里特别高兴。外婆回来后，看见屋里的玻璃，都被擦得干干净净，也表扬了我。 家务劳动虽是一件小事，却能够体现我们敬老爱老的思想。今后，我要做出更多敬老爱老的实际行动来! 我会做家务500字作文篇三：星期天早上，爸爸上班去了，妈妈出去买菜，我一个人呆在家里挺无聊，心想：我还从来没做过家务，今天学着做吧。 我先在水龙头下接了半盆水，把毛巾浸湿，再拧干，就开始擦了。先擦客厅的擦几，电视机电视柜，再擦饭厅的饭桌。然后，又把毛巾洗干净擦卧室，我把爸爸妈妈房间里的床头，床头柜，
1、SPORTS 【英】A：Hello, 【Name】, it's a sunny day, right? B：Yes. 【Name】, what are you going to do? You know, such a good weather, what a pity if only stay at home. A: I can't agree with you more. I'm going to play badminton, and you? B: Badminton? Well, I feel poor in this kind of game. A: Don't worry. The beginning is always the hardest. I can teach you. B: I'd be glad to. But I perfect table tennis. A: Table tennis? I really don't know you can play table tennis. B: Actually, there are lots of things you don't know. A: What else you can play? B: I have wide of interests, such as reading, swimming, table tennis and so on. A: Well, I love swimming. I think swimming can help me making a good shape. B: And you can improve your stamina, and…anyway, lots of benefits. A: So, how about going to swim? B: Are you kidding? This is winter! It's too cold to jump into the water.
大学英语口语课堂游戏 游戏一：让一个同学在教室外面待着，然后教室里大家想出一个人，比如Obama、Harry potter，任何一个大家都熟知的名人，这个人就是外面那个同学，然后让外面那个人进来猜他自己是谁，差不多都是问Am I dead? Am I male or female?等问题，限时间猜出，猜出有奖，猜不出惩罚。 游戏二：把全班几十个人平均分成四组，每组负责一次party，要求很简单，只能用英语说，要包括一个由组员自己表演的幽默小品，还要有由其他同学参与的游戏等，要让每一个同学都加入进来，想出很多有创意的节目和游戏，让气氛活跃，每次20分钟，剩下十分钟由老师来点评给分。 游戏三：角色扮演（Role play）, 就是让学生学习表演性较强的课文片段，然后分角色表演出来。课堂上把学生分成几组，然后每组选派一名或二名代表进行表演，当然表演的过程都是用全英文表达，其余的同学欣赏，打分，并用英语进行简单的评价，得分最高者可获得教师事先准备好的小礼物。这种全班性互动教学，能调动起学生的运动记忆和表演欲，提高学生的表演才能，可以让学生记忆更加深刻，并营造良好的英语语言学习环境。 游戏四：将班级分成几组，先在组内讨论并商定好下步要谈论的内容，如：怎样做饭烧菜，煮咖啡等，然后让组内每个同学讲一步操作程序，在讲的过程中犯错误最少的组将获胜。 游戏五：口语接龙编故事，每人轮流用英语讲一句故事，讲不下去编不下去的同学就输了，罚唱一首歌。 游戏六：猜词游戏就是绝大多数学生自由发言来形容要猜的单词，通过游戏起到练习英语口语的目的。 单词游戏可以用接词尾：rain_ night_two_over_read_dear_room_mind 单词接龙 将全班分成若干组，每组来一个学生在黑板上写出一个以某字母为词首的单词，前一个单词的词尾字母作下一个单词的词首字母。在规定时间内哪一组接的词最多为优胜。如：pen-nice-eight-tea-an-no-or-right-teacher-radio-on-nor等 口语操练游戏可以用鹦鹉学舌Polly says:Put up your https://www.doczj.com/doc/9711372592.html,b your hair.由老师发出指令Polly says，让学生照鹦鹉说的话做，如果没有Polly says，而是直接说Put up your hands，学生照做了，就犯规，不得玩游戏，要下场，由其它同学替换．这是练习祈使句． 传话每一纵排为一组,全班分成若干组。老师分别发给每一组最后一排的学生一张纸,上面写一句话。在老师说“开始”后,最后一排的学生即用耳语把纸上的话告诉前面的学生，这位学生再把听到的话告诉前面的学生……这样依次进行下去。最后第一排的学生把所传的话写到黑板上或说出来。传得最快,最准确的组获胜。
口语对话 1赶时髦(go after fashion) A:Fashion show is around the corner,I’m so excited!时装表演即将来临，我很兴奋！ B:Are there any good!这有什么好的！ A:I didn't see anything wrong with the clothes;they looked pretty nice to me.I think you don’t like it!Why?我没看出衣服有任何问题；在我看来它们都很不错。我觉得你不喜欢！为什么？ B:It was dumb.I think it's stupid for women to wear clothes like that.这是愚蠢的。我认为女人们穿成那样是很愚蠢的。 A:The benevolent see benevolence and the wise see wisdom.仁者见仁，智者见智。B:Do you really think people can wear that stuff and walk around the streets?你真的认为人们可以穿那种东西走在街上？ A:Yes,I do.At least,some people certainly can.They wear high-fashion clothes to show off their sense of style and wealth.是的，我这样认为。至少，有人一定会。他们穿着时尚的衣服展示他们的时尚感和财富。 B:Well.I still think they're dumb.It makes more sense to spend the money on more practical purposes.我仍然认为他们是愚蠢的。把更多的钱花在更有意义的地方比较实际。 A:So you think it's bad if I wear it?所以你认为我穿成这样很不好吗？ B:If you wear it I must speak nice!如果你穿成这样我一定说它很好看！ A:I know you will say that.我就知道你会这样说。 B:Only you know me!知我者非你莫属！
作文网小编为你精选的作文： 记叙文 | 议论文 | 说明文 | 应用文 | 散文 | 美文 每个人都有着难忘的第一次，而我难忘的就是第一次做家务。下面是由小编为大家整理的“第一次做家务500字作文”欢迎阅读，仅供参考，希望对你有所帮助。 篇一：第一次做家务500字作文 每个人都经历过许多的事情，开心的，烦恼的，难忘的…… 在我经历的事情中，就像天上的繁星时时闪耀在我心头，伴我度过每一个快乐的日子。在这些事情中，让我对我印象最深刻的是我在读一年级的时候。 那是一个星期天，吃完了中午饭，妈妈对我说：“孩子，你能帮妈妈扫一次地吗？”我一听是扫地，我高兴得跳了起来，因为我早就想帮妈妈做家务了，再说扫地太简单了，就爽快的答应了妈妈。 我拿来扫把，开始在客厅里扫，我拿起扫帚扫过去扫过来，不知扫了多久，发现把这里扫干净了，其它地方脏了，把其它地方扫干净了，另外的地方又脏了，扫得我汗流浃背，不知怎么回事？这是妈妈走了过来笑眯眯地说：“孩子，像你这样扫地是扫不干净的。”“不就是扫过去扫过来嘛！”我还很不服气的说。“来，我教你，要从房间的四周往中间扫，不能把扫帚扬得太高，不能用太大的力，要不然你扫这里的时候会把灰尘扫到其它地方，扫其它地方的时候同样如此。”妈妈耐心的说道。 我听了还很不耐烦的样子，扫地还有那么多的讲究？我半信半疑地按照妈妈说的方法去扫，结果真的把房间扫得干干净净的，而且一点儿也不累。妈妈看了我的成果，开心地笑了，还连声夸奖我是一个聪明的孩子。我为能帮妈妈做好家务感到开心。 从这一次扫地，让我明白一个道理：做任何事情都要讲究方法，讲究技巧，只有这样，做每一件事情才能成功。 篇二：第一次做家务500字作文 从小到大，我一直是家里的小公主，从来不干家务活。可是今天，我长大了，所以，我决定做家务。 一个阳光灿烂的星期天，我刚从床上爬起来，就闻到被子里有一股汗骚味，妈妈说了，被套盖久了不洗就会发臭。我却很高兴，因为我有活干了。 我先把棉被套取下，那被套可真难取，要拉这边取那边的。我以前也见过妈妈洗被套，我便学着妈妈的样子，把被套放进洗澡盆里，装上一盆清水，然后打着赤脚踩进盆里。哎呀，这水可真凉！凉得我有从盆里跳出来。不过我觉得这也挺有意思的，于是再踏了进去。我扶着墙壁，像踩脚踏车似的踩被套。这被套真有趣，我踩左边，它右边就会鼓起一个包；我踩
大学英语口语课程教学大纲 一、层次与学制：本科，四年制 二、教学时数：134学时，第一、二、三、四学期开设；周学时 2 三、适用专业：非外语专业 四、课程性质与任务 本课程为一门重要的必修的基础技能课程，主要通过课堂口语实践，充分唤起学生学 习英语的兴趣，使学生通过吸收丰富的预料，快速提高听说能力，深入了解各国文化和社 会知识，训练学生用英语进行思考，有效培养他们的英语交际能力。 教师要根据我校应用型人才培养目标，对课程进行认真研究、深入挖掘，结合课程特 点、教学内容和当前形势及现实生活，对学生进行人生观、世界观、价值观和思想道德品 质教育，努力使学生在获得知识的同时学会做人的道理。 五、课程的目的与基本要求 本课程的教学目的是通过大量的口语练习和实践，逐步培养和提高学生用英语进行口 头交际的能力，同时帮助学生了解主要英语国家的文化和生活习俗。通过本课程的学习， 学生应能就日常生活中的一般情景进行恰当的交谈；能就社会生活中的一般性话题进行连 贯的发言；能比较准确地表达自己的思想，做到语音准确、语调自然、语法基本正确，语 言运用基本得体。将语言技能、语言知识、文化意识等要素有机地结合起来，相互促进、 循序渐进，帮助学生最终实现交际的目的。 本课程要求学生能够运用已掌握的词汇、句型和常用表达法，结合个人实际，较为流 畅地就一些常见话题发表个人见解。大多数学生应能通过本门课程的学习具备用英语介绍 信息、发表意见等基本交际能力。与此同时，本课程还将进一步强调学生的语言准确性和 表达多样性，使他们逐步脱离母语的负面影响。 六、教材与教学参考书 教材：《流畅英语口语教程》《Inside Out》第一、二、三、四册，Sue Kay & Vaughan Jones, Jon Hird，上海外语教育出版社（2007年4月）（特色教材） 教学参考书：每册包括学生用书、教师用书、拓展练习册、video CD录像、CD－ROM 多媒体光盘、测试光盘。 七、教学主要内容与学时分配 第一学期：每周2学时，共14周，28学时，完成第一册的13个单元，其中讲授学时 13学时，讨论训练学时 6.5学时，习题课、测验学时 6.5学时，期末考试2学时。
大学生英语口语对话短文 【篇一】大学生英语口语对话短文 Max： This is it has finally been on. I love it. 终于上映了.我太喜欢了. Jessie： Hello? You love Michael Jackson? He was pedophiliac. Wasn’t he sick? 不是吧.你喜欢迈克杰克逊? 他有恋童癖的.他变态的,好吧. Max：That’s not true. As the king of pop, he had always been the center of rumors. He loved children. 这不是真的.作为音乐教父,他一直都是各种谣言的中心.他喜欢小孩子. Jessie： He loved to sexually abuse them. 他喜欢性虐待小孩吧. Max：Hey, don’t ever criticize my idol. He had a very bad and lonely childhood. So he wanted to do what he can to help those unhappy children. However, some bastards used his kindness. 不要这样批评我的偶像. 他自己的童年很不好,很孤独.所以他想给协助那些不开心的孩子. 但是有些居心不良的人利用他的善良. Jessie： You are saying that he was blackmailed. Then what about the being white thing? 你是说他们勒索他. 那皮肤变白的事情呢?
为父母做家务心得感想作文500字_做家务心得体会作文 劳动有利于调节我们的大脑，让大脑得到休息。劳动有利于我们心灵手巧，提高 我们的创新能力。大家平时帮父母做家务有什么心得体会呢?以下是小编为大家准备的为父母做家务心得感想作文，欢迎大家前来参阅。 为父母做家务心得1 每天妈妈起早贪黑的上班，还要接送我和妹妹，真是很辛苦呀!今天晚上妈妈下班 回来，给我们烧的都是我和妹妹爱吃的菜，我和妹妹吃的津津有味。吃好了饭，我和 妈妈说：“让我来洗碗吧!你出去放松放松。”妈妈和爸爸去散步了。 我和妹妹开始行动起来。我先在水槽里放满了水，再把碗和筷子统统放进水槽里，在洗碗球上滴一些洗洁精，擦洗一遍。一旁的妹妹就在那里玩，我把水龙头打开，把 碗里放满水，里面的泡泡可遭了殃，手放碗里搅拌，泡泡一个个地爆炸了。我愤怒地说：“我辛辛苦苦地洗碗，你竟然在旁边玩!”妹妹委屈地说：“哥哥我现在不玩了，我们 俩一起好好的洗碗。” 妹妹吸取了教训，开始好好洗碗。我和妹妹一个人拿一个碗。我的碗就像一个调 皮的小毛孩，一下子从我的手里溜走了，掉进了水槽里，溅我一身水。一旁的妹妹偷 偷地嘲笑我，结果她自己的碗也掉进了水槽里，溅到了自己的脸上。我说妹妹你还笑 不笑了!”我们把水倒掉，再接一槽水，在里面清洗。碗里冲一冲，碗底冲一冲。不一 会儿，我们俩把碗和筷子洗得干干净净。 妈妈回来了，看见我们把碗洗的干干净净，用微笑的面孔表扬了我们，妈妈说：“你们真是妈妈的宝贝，是个乖巧懂事的好孩子。”
为父母做家务心得2 今天是星期天，我睡了个懒觉，九点钟才起来。下床一看，发现爸爸妈妈都出去了。吃完父母留给我的早餐后，望着脏兮兮的屋子，决定抓住这个机会锻炼一下自己。 我看了看灰尘很多的房间，准备先打扫房间。我拿来扫帚和撮箕，装着很在行的 样子，一甩一甩的，把灰尘都扬起来了。我呛得受不了，连忙打开窗户，灰尘全部随 着风飘出去了。 我又拿来拖把，把它弄得湿漉漉的，我专心致志地拖起来。因为地面太滑，我一 个踉跄，摔了个“狗啃泥”。过了一个小时，我坐在沙发上欣赏我的“杰作”：地板被打扫 的一尘不染，还闪着光呢。 这时，时钟已经指向了十一点，我肚子饿得咕咕叫，该煮饭了。我先淘米，把米 和水混在一起，不停地用手搅拌。淘干净后在电饭煲内放好水，插上插头，按上按钮。然后我从冰箱里拿出豆角，洗干净后，小心翼翼的切好放到锅里。我又往锅里倒了点 油和盐，炒起来。炒完豆角，我看了时间，急忙三步并两步跑到电饭煲旁，拔掉插头，慢慢的揭开锅盖，长出一口气，说：“还好没焦!” 等我做完菜，爸爸妈妈也回来了，他们看见我收拾好的房间，和桌子上的饭菜， 不停地说：“我们儿子长大了!”“哈哈哈……”全家沉浸在笑声当中。 这个星期天我做了一些力所能及的家务活，既能减轻父母的负担，又锻炼了我的 生活自理能力。做家务的感觉真好! 为父母做家务心得3 小时候，我们看着爸爸、妈妈在家里做家务活。那时，我又怎么会知道做家务是 如此不易啊! 有一天，我对爸爸、妈妈说道：“今天，由我来帮你们做家务吧!”爸爸、妈妈欣慰 地看着我，笑着说：“我们的儿子长大了。”首先我从客厅开始搞卫生。我拿起扫把把 客厅里的地扫干净，然后又用抹布把地板擦得一尘不染。 换过新的水之后，我又把桌子擦了一遍，那叫一个亮啊!搞完客厅，现在该打扫房 间以及阳台和厨房了。我心里想：天啊!光打扫一个客厅都这么费劲，想想爸爸、妈妈 是有多么不容易啊。