Automatic Instructional Feedback, and a Lecture Hub System: A Strategy Towards Nurturing the Acquisition of a Structured Engagement Behavior

Victor Obionwu, Vincent Toulouse, David Broneske, Gunter Saake

Abstract: Several intervention strategies, and systems have been proposed and developed to facilitate the understanding of the SQL language, and it’s skill acquisition. However, most of these interventions are mainly structured around a battery of assessments and mostly overlooking the participants’ engagement patterns. Ergo, large amounts of easily avoidable errors, most of which are syntactic, are generated in the course of a student’s exercise task engagements. However, as evident in the body of literature, structured learning engagements potentially increases an individuals’ awareness of the medium of instruction and the instruction. Thus, In this contribution, we provide a strategy to automatically derive and improve instructional feedback, our agency for structuring students learning engagement via a mapping between SQL exercises, lecture slides, and respective cosine similarity which reaches a precision value of 0.767 and an F\(_{\beta = 0 .5}\) value of 0.505. We also describe the SQLValidaor lecture hub, an environment that facilitates our understanding of students engagement process.