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Ricardo Conejo Muñoz; Beatriz Barros Blanco; José del Campo-Ávila; José L. Triviño Rodriguez – IEEE Transactions on Learning Technologies, 2024
Automatic question generation and the assessment of procedural knowledge is still a challenging research topic. This article focuses on the case of it, the techniques of parsing grammars for compiler construction. There are two well-known techniques for parsing: top-down parsing with LL(1) and bottom-up with LR(1). Learning these techniques and…
Descriptors: Automation, Questioning Techniques, Knowledge Level, Language
Theophilus Ehidiamen Oamen; Ayodapo Oluwadare Jegede – Research in Pedagogy, 2024
Most student performance metrics are based on quantitative assessment from traditional test and examination scores. However, there is an apparent scarcity of exploratory qualitative studies to examine the characterization of traits, attitudes, and behaviors that may influence students' performance outcomes. Moreso because such characterization…
Descriptors: Pharmaceutical Education, Foreign Countries, Performance, Undergraduate Students
Zhen Wang; Xinrui Pei; Hejie Zhu; Shaoying Gong; Enguo Wang – Journal of Educational Computing Research, 2024
This research aims to expand our understanding of how to facilitate student feedback engagement processes in a computer-based formative assessment environment. In the present research, we designed a new type of elaborated feedback in terms of combining the correct solution and the erroneous solution, and the erroneous solution matched the…
Descriptors: Junior High School Students, Junior High School Teachers, Feedback (Response), Computer Assisted Instruction
Gao, Xuemin; Hew, Khe Foon – Journal of Educational Computing Research, 2023
Reintroducing computer science (CS) education in K-12 schools to promote computational thinking (CT) has attracted significant attention among scholars and educators. Among the several essential components included in CS and CT education, program debugging is an indispensable skill. However, debugging teaching has often been overlooked in K-12…
Descriptors: Flipped Classroom, Error Correction, Elementary School Students, Programming
Sideridis, Georgios; Tsaousis, Ioannis; Al-Harbi, Khaleel – Educational and Psychological Measurement, 2022
The goal of the present study was to address the analytical complexity of incorporating responses and response times through applying the Jeon and De Boeck mixture item response theory model in Mplus 8.7. Using both simulated and real data, we attempt to identify subgroups of responders that are rapid guessers or engage knowledge retrieval…
Descriptors: Reaction Time, Guessing (Tests), Item Response Theory, Information Retrieval
Eckstein, Grant; Sims, Maureen; Rohm, Lisa – TESL Canada Journal, 2020
Dynamic written corrective feedback (DWCF) is a pedagogical approach that offers meaningful, manageable, constant, and timely corrective feedback on student writing (Hartshorn et al., 2010). It emphasizes indirect and comprehensive written error correction on short, daily writing assignments. Numerous studies have demonstrated that its use can…
Descriptors: Feedback (Response), Written Language, Error Correction, Time Factors (Learning)
Wei, Lim Yi – Journal of Science and Mathematics Education in Southeast Asia, 2022
Purpose: The purpose of this action research was to identify students' errors in solving fraction number line and word problems. It also explored the effectiveness of Tik-Tok short videos in improving students' fraction understanding. Methods: The sample for this research consisted of 48 students from Form 1 at SMK SANZAC. In this study, a Check…
Descriptors: Error Correction, Fractions, Mathematics Instruction, Problem Solving
Pintér, Lilla; Surányi, Balázs – First Language, 2023
Previous research has uncovered that, despite the omnipresence of focus in utterances, children typically do not compute the exhaustivity inference associated with cleft(-like) syntactic focus constructions at adult-like levels before 7 years of age. Children's comparable limitations with lexically triggered scalar implicatures, inferences with an…
Descriptors: Preschool Children, Language Processing, Language Acquisition, Accuracy
Chen, Chih-Hung; Koong, Chorng-Shiuh; Liao, Chien – Educational Technology & Society, 2022
Artificial intelligence (AI) technology has been progressively utilized in educational environments in recent years, due to the advances in computing and information processing techniques. The automatic speech recognition technique (ASR) provides students with instantaneous feedback and interactive oral practice for supporting a context with…
Descriptors: Evaluation Methods, Speech Communication, Speech Skills, Anxiety
Shang, Hui-Fang – Interactive Learning Environments, 2022
Previous studies have been done to research the effects of different electronic feedback (e-feedback) modes of helping English as a foreign language (EFL) students improve their writing. The purpose of this study was to employ online peer feedback (OPF) and automated corrective feedback (ACF) to assess EFL learners' writing performance in the…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Automation
Nikolaeva, Sofiya; Korol, Tetiana – International Journal of Evaluation and Research in Education, 2021
Feedback as the key component of formative assessment was studied extensively in the context of the acquisition of the foreign language productive skills by different categories of learners. Similarly, this paper aimed at the investigation of the optimal design of the feedback loop in teaching translation to undergraduate students. A mixed-methods…
Descriptors: Formative Evaluation, Translation, Ukrainian, Instructional Effectiveness
Manson, Elisapesi; Ayres, Paul – Educational Psychology, 2021
This study investigated the effectiveness of using a sequence of worked examples as part of the feedback cycle. Worked examples were either presented as full worked examples or partial worked examples (single-step and completion formats). In two experiments, grade 8 students completed a learning phase on a mathematics topic, which was immediately…
Descriptors: Error Correction, Feedback (Response), Demonstrations (Educational), Direct Instruction
Lee, Sungeun; Choi, Young-il; Kim, Sung-Won – International Journal of Science Education, 2021
The purpose of this study is to find a way to improve students' performance to solve physics problems by inducing changes in emotion via immediate feedback. To this end, in 2016, we conducted an experiment, doing an interview and survey consecutively. The participants were five second-year male students attending a private high school in Seoul,…
Descriptors: Emotional Response, Feedback (Response), Error Correction, Physics
Avena, Jennifer S.; Knight, Jennifer K. – CBE - Life Sciences Education, 2019
Problem solving is an integral part of doing science, yet it is challenging for students in many disciplines to learn. We explored student success in solving genetics problems in several genetics content areas using sets of three consecutive questions for each content area. To promote improvement, we provided students the choice to take a…
Descriptors: Problem Solving, Genetics, Prompting, Science Tests
Zhang, Hong; Torres-Hostench, Olga – Language Learning & Technology, 2022
The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…
Descriptors: Computational Linguistics, Translation, Second Language Learning, Second Language Instruction