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[PDF] Top 20 Task-based Example Miner for Intelligent Tutoring Systems

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Task-based Example Miner for Intelligent Tutoring Systems

Task-based Example Miner for Intelligent Tutoring Systems

... of task-oriented ...each task. Examples of such features include students performance on a task and its LUs, their knowledge on the worked-out examples that assist in the task, difficulty ... See full document

186

Using Web based Intelligent Tutoring Systems in Teaching Physics Subjects at Undergraduate Level

Using Web based Intelligent Tutoring Systems in Teaching Physics Subjects at Undergraduate Level

... The intelligent features of WBITSs include giving instant feedback to learners, allowing learners to resume where left off, no requirement to strictly follow learning pages, and the availability of numerous ... See full document

9

Affect Recognition and Support in Intelligent Tutoring Systems

Affect Recognition and Support in Intelligent Tutoring Systems

... For example, some people are naturally more private about their feelings; such individuals might respond to the invasion of their private emotional space by a per- ceptive affective agent with a range of reactions ... See full document

178

Applications of Data Mining in Constraint Based Intelligent Tutoring Systems

Applications of Data Mining in Constraint Based Intelligent Tutoring Systems

... Although the data mining process is well-defined, no single integrated software application exists to execute the entire process. In particular, the mechanisms used to generate data vary greatly from one data mining ... See full document

42

Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

... Atlas is an ITS that uses natural language dialogs to increase opportunities for students to construct their own knowledge [106]. The two main components of Atlas are APE [107], the Atlas Plan- ning Engine and CARMEL ... See full document

20

Effects of Web based Intelligent Tutoring Systems on Academic Achievement and Retention

Effects of Web based Intelligent Tutoring Systems on Academic Achievement and Retention

... and when they can proceed to the next topic. The last and most important ITS component is the teaching model, which involves some instruction strategies employed to provide feedback about student progress and guidance ... See full document

7

The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems

The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems

... For example, in the sentence: The red ball which was thrown vertically up strikes the target first, and thus it re- turns the ...this example would be ... See full document

5

The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems

The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems

... The results show that for the task with by far the most answers, ‘2B1’, spelling correction had a very noticeable positive impact (+2.45%). For other tasks, the effect seems to be less pronounced, though still ... See full document

7

Cognition and Technology: Effectiveness of intelligent tutoring systems for software training

Cognition and Technology: Effectiveness of intelligent tutoring systems for software training

... an intelligent tutoring system (ITS) to tutor on off-the-shelf (OTS) ...both task performance and system usability perception, while better times were recorded for the simulation ...on task ... See full document

131

Analysis Of The Interoperability Of Intelligent Tutoring Systems For Programming: An Aspect Of Programming Exercises

Analysis Of The Interoperability Of Intelligent Tutoring Systems For Programming: An Aspect Of Programming Exercises

... and Evaluation [19]. According to Santos et al. [19], the SOLO (Structure of the Observed Learning Outcome) taxonomy makes no reference to the learner performance cognitive characteristics or to the affective dimension. ... See full document

5

Application of Data Mining in Adaptive and
          Intelligent Tutoring Systems: A Review

Application of Data Mining in Adaptive and Intelligent Tutoring Systems: A Review

... For example, if the dataset containing student performance per semester, per subject is subjected to the k-means algorithm it is possible to obtain a dataset partitioned based upon performance labels such ... See full document

8

Enhancing electronic intelligent tutoring systems by responding to affective states

Enhancing electronic intelligent tutoring systems by responding to affective states

... For example, the emotion tool released by Microsoft can be used to create systems that recognize eight core emotional states – anger, contempt, fear, disgust, happiness, neutral, sadness or surprise – ... See full document

266

An intelligent tutoring system for teaching advanced topics in information security

An intelligent tutoring system for teaching advanced topics in information security

... several systems designed and developed for the purpose of ...These systems help students to learn quickly and increase their ...these systems dedicated to teaching computer science such as [1, 2, 3, ... See full document

9

An Intelligent Tutoring System for Teaching Grammar English Tenses

An Intelligent Tutoring System for Teaching Grammar English Tenses

... The domain model contains information relating to the English grammar tenses or number of strategies to represent information. Intelligent tutoring system uses its domain model to solve problems, or problem ... See full document

15

The State of Educational Data Mining in 2009: A  Review and Future Visions

The State of Educational Data Mining in 2009: A Review and Future Visions

... Modeling student individual differences in these areas enables software to respond to those individual differences, significantly improving student learning [Corbett 2001]. Educational data mining methods have enable ... See full document

14

Analysis of an Intelligent Graphical Tutoring System  using the Internet of Things (IoT) to Develop  the Competency of Embedded Systems

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

... The intelligent tutoring system (ITS) is an innovative learning platform that uses electronic media to support students learning and provide course content, tests, exer- cises and learning ...the ... See full document

13

Context or culture: what is the difference?

Context or culture: what is the difference?

... We first built on our previous work: Savard (2014) used a design-based research (DBR) iterative approach to identify cultural variables in the instructional design professional cul- ture and modeled knowledge ... See full document

12

iSnap: Data-driven Support for Novice Programming Informed by Evaluations of Hint Quality and Investigations of Student Help-seeking Behavior.

iSnap: Data-driven Support for Novice Programming Informed by Evaluations of Hint Quality and Investigations of Student Help-seeking Behavior.

... Despite the large number of ITSs which offer hints and feedback to students during problem solving, as well as the empirical evidence above in support of these features, researchers are still trying to determine when and ... See full document

140

Multi-level navigation for curriculum planning in intelligent tutoring systems

Multi-level navigation for curriculum planning in intelligent tutoring systems

... 1997 IEEE International Conference on Intelligent Processing Systems October 28-31,1997 Central Garden Hotel,’Beijing, China Endorsed by The State Science and Technology Commission of Ch[r] ... See full document

10

Construals as a complement to intelligent tutoring systems in medical education

Construals as a complement to intelligent tutoring systems in medical education

... The ‘constructed’ – rather than ‘objective’ – nature of the modeller’s perception of state can be highlighted in many other ways. The modeller’s observation is informed by a complex aggregation of present and past ... See full document

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