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This paper presents an innovative approach based on Excel files and a detailed implementation guide that allows a professor with proficient spreadsheet skills to develop individualized problem-solving tasks for assignments and examinations that test students on cognitive thinking processes beyond memorizing and drilling. The professor accomplishes this goal by requiring the students to model a business problem-solving task in a worksheet environment. Each student's work is marked automatically by a generic "plug and play" Visual Basic for Application (VBA) algorithm. The scores and feedback provided are tailored to each individual student and address not only the problem-solving outcome but also the problem-solving process. The learning objective discussed in this work is implemented at a Norwegian university business school.

The aim of this study is was discuss the effectiveness of a digital school examination practice which was developed, and cultivated at a Norwegian university"s business school over a 9-year period. In this innovative practice, we intended to align the digital school examinations constructively into the course design, and we crafted examination questions and problems aiming to motivate students to acquire a deep learning approach. To hinder cheating on examinations where students brought their own devices, they worked with semi-indivual exam papers. The issues were common, but the students worked with specific data sets. Consequently, no solutions were equal. Empirical indications of effectiveness was derived from multiple sources: a survey, grade distributions, exam scores on question/problem types, and strings from the examination marking. The results show that students were satisfied using spreadsheets on the final school examination, which also motivated them to utilize a spreadsheet in their day-to-day learning activities. Moreover, we found it reasonable to affirm that semi-individual examinations hindered digital cheating.

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