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Zhu, Jinxin; Mok, Magdalena M. C. – Journal of Computer Assisted Learning, 2020
In recent years, it has become common to use the internet or computer tutoring with a programme or application for additional instruction (ICTPAAI), in addition to the mandatory school schedule. This study aimed to understand students' participation in ICTPAAI and its relation to academic achievement. Multilevel structural equation modelling was…
Descriptors: Predictor Variables, Student Participation, Internet, Computer Assisted Instruction
Youde, Andrew – Education Sciences, 2020
This paper explores the practices of higher education tutors in blended learning contexts. Significantly, the influence of their perceptions on practice was considered by investigating previous teaching and learning experiences, and their views of the affordances blended learning offers adult learners. The analysis was undertaken in relation to…
Descriptors: Tutoring, Tutors, Teacher Attitudes, Beliefs
El-Senousy, Hala – South African Journal of Education, 2020
In practical courses, students consider teachers' assessment of various skills to be baseless and unfair. Unfortunately, due to a lack of equipment, only a few students take part in practical skills performance, while the rest of the students remain passive in learning and assessment. In this paper we suggest an original design to use peer…
Descriptors: Peer Evaluation, Active Learning, Skill Development, Females
Heidemann, Virginia – Educational Practice and Theory, 2020
Research has shown that encouraging choice, self-initiation of behavior, and personal responsibility leads to both cognitive flexibility and self-esteem (McGraw & McCullers, 1979; Deci, Schwartz, et al., 1981). An appreciation for the positive impacts that peer tutoring can have on students' growth, confidence, and academic achievement,…
Descriptors: Incentive Grants, Student Empowerment, College Students, Learner Engagement
Tacoma, Sietske; Heeren, Bastiaan; Jeuring, Johan; Drijvers, Paul – International Journal of Artificial Intelligence in Education, 2020
Hypothesis testing involves a complex stepwise procedure that is challenging for many students in introductory university statistics courses. In this paper we assess how feedback from an Intelligent Tutoring System can address the logic of hypothesis testing and whether such feedback contributes to first-year social sciences students' proficiency…
Descriptors: Hypothesis Testing, Feedback (Response), Intelligent Tutoring Systems, Introductory Courses
Borracci, Giuliana; Gauthier, Erica; Jennings, Jay; Sale, Kyle; Muldner, Kasia – Journal of Educational Computing Research, 2020
We investigated the impact of assistance on learning and affect during problem-solving activities with a computer tutor we built using the Cognitive Tutor Authoring Tools framework. The tutor delivered its primary form of assistance in the form of worked-out examples. We manipulated the level of assistance the examples in the tutor provided, by…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Mathematics Education, Algebra
Investigating Interactivity in Instructional Video Tutorials for an Undergraduate Informatics Course
Preradovic, Nives Mikelic; Lauc, Tomislava; Panev, Ida – Issues in Educational Research, 2020
The aim of this study is to investigate the impact of interactive and demonstration (non-interactive) video tutorials for software training on the effectiveness of procedural learning and student satisfaction. An analysis of signalling made by instructional designers was carried out to develop high-quality instructional video materials. These…
Descriptors: Interactive Video, Demonstrations (Educational), Instructional Films, Student Satisfaction
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
Krzychala, Slawomir – American Educational Research Journal, 2020
This article focuses on the teacher community as an agent of school development, and in the context of teacher engagement in new educational practices, it discusses how school change can be analyzed as a process of creating and transforming professional knowledge (orientation pattern). The qualitative research was conducted in 2015-2016 at 12…
Descriptors: Foreign Countries, Educational Development, Teacher Response, Educational Innovation
Pavlik, Philip I., Jr.; Olney, Andrew M.; Banker, Amanda; Eglington, Luke; Yarbro, Jeffrey – Grantee Submission, 2020
An intelligent textbook may be considered to be an interaction layer that lies between the text and the student, helping the student to master the content in the text. The Mobile Fact and Concept Training System (MoFaCTS) is an adaptive instructional system for simple content that has been developed into an interaction layer to mediate textbook…
Descriptors: Textbooks, Intelligent Tutoring Systems, Electronic Learning, Instructional Design
Wilt, Courtney L.; Morningstar, Mary E. – Institute for Community Inclusion, 2020
Inclusive postsecondary education (IPSE) programs for youth with intellectual disability recognize students with intellectual disability as contributing members of the broader campus community through academic engagement, career development, and social activities (Grigal & Papay, 2018; Jones et. al, 2015). An established strategy for promoting…
Descriptors: Postsecondary Education, College Students, Students with Disabilities, Student Experience
Lee, Youngnam; Kim, Byungsoo; Shin, Dongmin; Kim, JungHoon; Baek, Jineon; Lee, Jinhwan; Choi, Youngduck – International Educational Data Mining Society, 2020
Intelligent Tutoring Systems (ITSs) have been developed to provide students with personalized learning experiences by adaptively generating learning paths optimized for each individual. Within the vast scope of ITS, score prediction stands out as an area of study that enables students to construct individually realistic goals based on their…
Descriptors: Intelligent Tutoring Systems, Prediction, Scores, Learner Engagement
Shi, Lijing; Stickler, Ursula – Innovation in Language Learning and Teaching, 2018
Speaking in Chinese is problematic for all learners, particularly for beginners and more so during online interaction. Despite the fact that interaction has been identified as crucial for the development of speaking skills, it can be hindered by students' lack of language competence or their anxiety. Teacher-centred practices in tutorials can…
Descriptors: Foreign Countries, Second Language Instruction, Mandarin Chinese, Online Courses
Esther Doecke – Compare: A Journal of Comparative and International Education, 2025
Families are active agents in school systems and apply different strategies of educational advantage to help their children succeed at school. These strategies are planned and enacted by families with their children in mind, but they are always a response to the broader education system design. This article explores how through their strategies…
Descriptors: Foreign Countries, Cross Cultural Studies, Academic Achievement, Classification
Suh, Emily K.; McGee, Barrie E.; Owens, Sam – Journal of Basic Writing, 2021
In the hopes of deepening Basic Writing instructors' critical awareness of their authority in assigning meaning to student experience, we present a case study of two adult-arrival immigrant students. We explore the ways that writing instructors and tutors encourage students' personal narratives of persistence--rather than actual persistence…
Descriptors: Basic Writing, Immigrants, Personal Narratives, Student Experience

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