NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Taniguchi, Yuta; Konomi, Shin'ichi; Goda, Yoshiko – International Association for Development of the Information Society, 2019
This study discusses the automatic coding methods of the Community of Inquiry (CoI) framework for multilingual contexts, in particular. In universities, foreign students cannot be overlooked, and learning systems are also required to work in multilingual situations. However, none of the existing work has addressed the lack of language-agnostic and…
Descriptors: Coding, Multilingualism, Foreign Students, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Farley, Andrew; Pahom, Olga; Ramonda, Kris – Hispania, 2014
This study examines the lexical representation and recall of abstract words by beginning L2 learners of Spanish in the light of the predictions of the dual coding theory (Paivio 1971; Paivio and Desrochers 1980). Ninety-seven learners (forty-four males and fifty-three females) were randomly placed in the picture or non-picture group and taught…
Descriptors: Spanish, Second Language Learning, Second Language Instruction, Coding
Peer reviewed Peer reviewed
Direct linkDirect link
Ozubko, Jason D.; MacLeod, Colin M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2010
The production effect is the substantial benefit to memory of having studied information aloud as opposed to silently. MacLeod, Gopie, Hourihan, Neary, and Ozubko (2010) have explained this enhancement by suggesting that a word studied aloud acquires a distinctive encoding record and that recollecting this record supports identifying a word…
Descriptors: Prediction, Memory, Experiments, Coding
Peer reviewed Peer reviewed
Direct linkDirect link
Zheng, Lanqin; Yang, Kaicheng; Huang, Ronghuai – Educational Technology & Society, 2012
This study proposes a new method named the IIS-map-based method for analyzing interactions in face-to-face collaborative learning settings. This analysis method is conducted in three steps: firstly, drawing an initial IIS-map according to collaborative tasks; secondly, coding and segmenting information flows into information items of IIS; thirdly,…
Descriptors: Foreign Countries, Computer Uses in Education, Program Effectiveness, Research Methodology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Peer reviewed Peer reviewed
Falk, Ruma; Konold, Clifford – Psychological Review, 1997
Results of three studies, involving 606 high school and college students, show that the perceived randomness of a sequence is better predicted by its encoding difficulty than its objective randomness. Results imply that judging the extent of randomness of a sequence is based on the attempt to encode it. (SLD)
Descriptors: Coding, College Students, Decision Making, Difficulty Level