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Direct linkCui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing
Máñez, Ignacio; Vidal-Abarca, Eduardo; Kendeou, Panayiota; Martínez, Tomás – Metacognition and Learning, 2019
The goal of this study was to examine how students process formative feedback that included corrective and elaborative information in online question-answering tasks. Skilled and less-skilled comprehenders in grade 8 read texts and answered comprehension questions. Prior to responding, students were asked to select the textual information relevant…
Descriptors: Formative Evaluation, Feedback (Response), Questioning Techniques, Task Analysis
Vidal-Abarca, Eduardo; Mana, Amelia; Gil, Laura – Journal of Educational Psychology, 2010
The goal of this study is to analyze the self-regulation processes present in task-oriented reading activities. In the 1st experiment, we examined the following self-regulation processes in the context of answering questions about an available text: (a) monitoring the comprehension of the question, (b) self-regulating the search process, and (c)…
Descriptors: Comprehension, Metacognition, Grade 8, Task Analysis
