Intelligence on

Research

Sat, 29 Nov 2025 21:10:00 +0200

Technology-Based Assessment

In the last decades, the digitalization of educational content, the integration of computers in different educational settings and the opportunity to connect knowledge and people via the Internet has led to fundamental changes in the way we gather, process, and evaluate information. Also, more and more tablet PCs or notebooks are used in schools and—in comparison to traditional sources of information such as text books—the Internet seems to be more appealing, versatile, and accessible. Technology-based assessment has been concerned with questions of comparability of test scores across test media, transferring already existing measurement instruments to digital devices. Nowadays, researchers are more interested in enriching the assessment by using interactive tasks and video material or make the testing more efficient using digital behavior traces.

Projects

Thu, 29 May 2025 15:31:00 +0200

German translation of this site

↗ PINGUIN
↗ Replication Crisis in Machine Learning

Potential Identification in Elementary School

In the project “Potential Identification in Elementary School for Individual Support” (PINGUIN), we are developing a screening tool to objectively and reliably assess students’ cognitive potential and initial learning conditions at school entry. The computer-based assessment of the PINGUIN project consists of four modules: (1) cognitive potential, (2) language skills, (3) early literacy, and (4) basic mathematical competencies. For each module, tasks are selected adaptively from a comprehensive item bank. The study is conducted in small groups at school using tablets. PINGUIN is designed to help identify children’s potential at an early stage, to provide an objective and fair evaluation of their initial learning conditions, and provide individual support. Teachers can use the knowledge of each child’s individual strengths and weaknesses to tailor their teaching.

Projects

Thu, 29 May 2025 15:31:00 +0200

↗ PINGUIN
↗ Replikationskrise im Machine Learning

Potenzialidentifikation in der Grundschule zur individuellen Förderung

Im Projekt “Potenzialidentifikation IN der GrUndschule zur INdividuellen Förderung”, kurz PINGUIN, entwickeln wir in einem großem Team ein Screening zur objektiven und zuverlässigen Erfassung des kognitiven Potenzials sowie der Lernausgangslage von Schülerinnen und Schülern in der Schuleingangsphase. Das computerbasierte Messinstrument des PINGUIN-Projekts besteht aus vier Modulen: (1) kognitives Potenzial, (2) sprachliche Leistungen, (3) schriftsprachliche und (4) mathematische Basiskompetenzen. Für jedes Modul werden die Aufgaben adaptiv aus einer umfangreichen Aufgabendatenbank gezogen. Die Untersuchung wird mittels Tablets in Kleingruppen in der Schule durchgeführt. PINGUIN soll dazu beitragen, die Potenziale der Kinder frühzeitig zu erkennen und eine faire, datenbasierte Förderung zu ermöglichen. Das Wissen über die individuellen Stärken und Schwächen der einzelnen Kinder kann von Lehrkräften für ihre Unterrichtsgestaltung herangezogen werden.

New methods and assessment approaches in intelligence research

Sun, 11 Nov 2018 09:26:02 +0000

Maybe you have seen my recent Tweet:

Please share this call and contribute to a new Special Issue on "New Methods and Assessment Approaches in Intelligence Research" in the @Jintelligence1, we are guest-editing together with Hülür, @HildePsych, and @pdoebler. More information: https://t.co/PevdPeyRgm pic.twitter.com/Y6hRllQa8m
— Ulrich Schroeders (@Navajoc0d3) November 11, 2018

And this is the complete Call for the Special Issue in the Journal of Intelligence

Dear Colleagues,
Our understanding of intelligence has been—and still is—significantly influenced by the development and application of new computational and statistical methods, as well as novel testing procedures. In science, methodological developments typically follow new theoretical ideas. In contrast, great breakthroughs in intelligence research followed the reverse order. For instance, the once-novel factor analytic tools preceded and facilitated new theoretical ideas such as the theory of multiple group factors of intelligence. Therefore, the way we assess and analyze intelligent behavior also shapes the way we think about intelligence.
We want to summarize recent and ongoing methodological advances inspiring intelligence research and facilitating thinking about new theoretical perspectives. This Special Issue will include contributions that: