Page 14 - International Perspectives on Effective Teaching and Learning in Digital Education
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Maša Černelič-Bizjak and Sabina Ličen

                  ‘thinking about thinking’ or the ability to monitor and control one’s cognitive
                  processes (Dunlosky & Metcalfe, 8) and comprises both the ability to be
                  aware of one’s cognitive processes (metacognitive knowledge) and to reg-
                  ulate them (metacognitive control) (Fleur et al., 1). Metacognition plays
                  an important  role in learning and  education (Pintrich,  ). By  fostering
                  metacognitive skills, learners become more effective in planning, monitor-
                  ing, and evaluating their cognitive activities, which enhances their overall
                  academic performance.
                    In the field of educational sciences, there is extensive research on metacog-
                  nitive training, but we lack a solid understanding of what methods are most
                  effective and why. While some studies suggest that enhancing metacognitive
                  skills improves academic performance (Dignath et al., 8), other interven-
                  tions show inconsistent results (Jacob & Parkinson, 15; Kassai et al., 19),
                  and there remains limited understanding of their long-term impact or trans-
                  fer effects. So, there is still a need to establish clear links between metacogni-
                  tion in the brain and its application in areas such as education. Furthermore,
                  educational and cognitive neuroscientists explore metacognition in different
                  contexts and using different methods. While cognitive neuroscientists of-
                  ten examine metacognition through behavioral tasks (such as Flanker tasks,
                  Stroop task...), educational researchers tend to rely primarily on introspective,
                  self-report questionnaires or interviews (Dinsmore et al., 8). It remains un-
                  certain to what degree these differing approaches to measuring metacog-
                  nition align and represent the same underlying processes. Gaining a deeper
                  understanding of the cognitive processes that underpin metacognition and
                  their representation in the brain could offer valuable insights into these as-
                  pects.  In recent years, there has been a lot of progress in brain research, stud-
                  ying the neural mechanisms of metacognition (Vaccaro & Fleming, 18), and
                  starting to orient itself towards training metacognitive abilities that would
                  translate into real-life benefits, yet it is unclear at this point how these results
                  may inform educational sciences or interventions.
                    In cognitive neuroscience, metacognition research follows two paths: one
                  explores meta-knowledge, focusing on the neural basis of introspective judg-
                  ments about one’s own cognition (i.e., metacognitive judgements), and me-
                  ta-control with experiments involving cognitive offloading (e.g., subjects can
                  perform actions such as set reminders, making notes and delegating tasks)
                  (Risko & Gilbert, 16; Gilbert et al. ), while the other investigates execu-
                  tive functions (EF), also referred to as cognitive control (Fernandez-Duque et
                  al., ), which is closely related to metacognition.


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