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Chen, Xingliang; Mitrovic, Antonija; Mathews, Moffat – IEEE Transactions on Learning Technologies, 2020
Problem solving, worked examples, and erroneous examples have proven to be effective learning activities in Intelligent Tutoring Systems (ITSs). However, it is generally unknown how to select learning activities adaptively in ITSs to maximize learning. In the previous work of A. Shareghi Najar and A. Mitrovic, alternating worked examples with…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Learning Activities, Educational Technology
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Ondrusek, Anita; Ren, Xiaoai; Yang, Changwoo – Journal of Education for Library and Information Science, 2019
Very few formal studies have documented the errors committed in online searching performances, and none have focused exclusively on students in library and information science programs. To fill this gap, the authors conducted a content analysis of online searching errors of MLIS students based upon a coding scheme derived from previous error…
Descriptors: Library Science, Information Science, Graduate Students, Masters Programs
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Paul John; Nina Wolf – CALICO Journal, 2020
Our study examines written corrective feedback generated by two online grammar checkers (GCs), Grammarly and Virtual Writing Tutor, and by the grammar checking function of Microsoft Word. We tested the technology on a wide range of grammatical error types from two sources: a set of authentic ESL compositions and a series of simple sentences we…
Descriptors: English (Second Language), Feedback (Response), Automation, Grammar
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Cattaneo, Alberto A. P.; Boldrini, Elena – Journal of Workplace Learning, 2017
Purpose: Starting from the identification of some theoretically driven instructional principles, this paper presents a set of empirical cases based on strategies to learn from errors. The purpose of this paper is to provide first evidence about the feasibility and the effectiveness for learning of video-enhanced error-based strategies in…
Descriptors: Foreign Countries, Error Patterns, Workplace Learning, Vocational Education
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Jou, Min; Wang, Jingying – British Journal of Educational Technology, 2015
This study investigated a Ubiquitous Sensor System (USS) that we developed to assess student thought process during practical lessons on a real-time basis and to provide students with a reflective learning environment. Behavioral curves and data obtained by the USS would help students understand where they had made mistakes during practical…
Descriptors: Cognitive Processes, Technology Uses in Education, Reflection, Error Patterns
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Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – Grantee Submission, 2015
To learn from an error, students must correct the error by engaging in sense-making activities around the error. Past work has looked at how supporting collaboration around errors affects learning. This paper attempts to shed further light on the role that collaboration can play in the process of overcoming an error. We found that good…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Cooperative Learning
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Cucchiarini, Catia; Nejjari, Warda; Strik, Helmer – Language Learning in Higher Education, 2012
Individualized tutoring and feedback by trained language instructors are known to be optimal for language learning. Providing them is time-consuming and costly, however, and therefore not feasible for the majority of language learners. This applies particularly to pronunciation, where corrective feedback should ideally be synchronous, which makes…
Descriptors: Pronunciation, Coaching (Performance), Computer Assisted Instruction, English (Second Language)
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Priem, Jason – Journal of Educational Computing Research, 2010
The study of student error, important across many fields of educational research, has begun to attract interest in the field of e-learning, particularly in relation to usability. However, it remains unclear when errors should be avoided (as usability failures) or embraced (as learning opportunities). Many domains have benefited from taxonomies of…
Descriptors: Electronic Learning, Educational Research, Distance Education, Classification