Entry Assessment of Student Learning Preconditions in Higher Education: Implications for the Transition from Secondary to Tertiary Education in Germany

Over the past decade, international interest has grown in the assessment of student learning outcomes (SLOs) in higher education. Policy-driven, outcomes-oriented reform programs have introduced long-term changes to the higher education sector, particularly in member countries of the Organisation for Economic Co-operation and Development (OECD). International assessments of education first gained importance in primary and secondary education with the First International Mathematics Study (FIMS), carried out in 1964 by the International Association for the Evaluation of Educational Achievement (IEA). FIMS was followed by a second study (SIMS), and a third that also included science, the Third International Mathematics and Science Study (TIMSS). Higher education institutions are expected to be accountable for the effectiveness of their courses and study programs; such accountability can be enhanced through information gathered from formative and summative assessments of students' basic generic and domain-specific knowledge and skills, and relevant determinants thereof, such as aptitudes and competencies they bring with them upon entering higher education.

The role of emotions in student engagement has been examined in many studies. However, little is known about how emotional intelligence (EI) is related to engagement and other key learning outcomes in higher education. To fill this gap, this study examined how EI is associated with student engagement and how EI and engagement jointly predict key learning outcomes in higher education, including the students’ GPA, generic outcomes, and satisfaction with the university experience. The study adopted a prospective longitudinal design involving 560 first-year students from 10 faculties of a university in Hong Kong. The data were collected at two-time points, namely before the start and after the end of the students’ first year in the university. Structural equation modeling was employed to test the measurement and hypothesized models. Results indicated that EI positively predicted all dimensions of student engagement and promoted key learning outcomes (including GPA, generic learning outcomes, and students’ satisfaction with the university) via the different dimensions of student engagement. The model also explained 16%, 44%, and 38% of the students’ GPA, generic learning outcomes, and satisfaction with their university experience, respectively. This study provides empirical evidence on the positive effect of EI on the students’ optimal functioning in the higher education context. Implications of the findings are discussed.

One of the most significant European higher education reform initiatives of the last decade is the introduction of a European Qualification Framework (EQF) emphasizing Learning Outcomes (LOs) in higher education. The EQF is offered as a reform to contribute to increased transparency and mobility, and also implies a certain degree of standardization and comparability as to how these initiatives are implemented in European countries. The current article considers these changes in light of institutional perspectives that highlight how common HE reforms, in practice, often vary considerably. It investigates how factors of national policy-making contexts, reform traditions and broader reform agendas contribute to variations in contemporary interpretations and applications of LOs, here in the cases of Norwegian and English HE. It argues that (1) the characteristics of English and Norwegian higher education provided contexts where the perceptions of LOs evolved in very different ways, (2) the different political–administrative structures in the two countries were linked to different governance logics at the national level and institutional levels, and (3) despite these variations, some common mechanisms driving reform can be identified, in the role of intermediary and quality assurance bodies.

The main objective of this study was to work toward the development of a number of measures of student learning outcomes (SLOs) in higher education. Specifically, we used data from Exame Nacional de Desempenho dos Estudantes (ENADE), a college-exit examination developed and used in Brazil. The fact that Brazil administered the ENADE to both freshmen and senior students provided a unique opportunity to get a first approximation of the general and subject area knowledge gained in different programs. The results suggested that, on average, students in the three different categories of programs were gaining valuable general and subject area knowledge. The gains in the subject area were of a larger magnitude than those in the general knowledge component of the test. This study contributes to the field by providing empirical and visually compelling evidence related to SLOs gains in higher education.

This study aims to systematically review the application of machine learning-based clustering algorithms in the evaluation of Graduate Learning Outcomes (CPL) in higher education. The review was conducted using the PRISMA approach on articles published in the Scopus database during the period 2020–2025. A total of 52 articles were analyzed to identify trends in the algorithms used, implementation challenges, and their contributions to curriculum development. The findings show that algorithms such as K-Means, Hierarchical Clustering, and Fuzzy C-Means are frequently used in mapping student competencies. However, their implementation in practice remains limited due to insufficient model validation, lack of justification for algorithm selection, and a disconnect between analytical results and academic decision-making. This situation reflects a broader issue in the integration of machine learning into educational contexts, where the technical potential of algorithms has not yet been fully translated into meaningful pedagogical impact. As a conceptual contribution, this study develops a machine learning-based computational model that includes the stages of CPL data collection, preprocessing, cluster modeling, result evaluation, and integration into curriculum policy. The proposed model is designed to enhance transparency, adaptability, and evidence-based decision-making in curriculum management systems. This study also highlights the need for the development of soft clustering techniques, integration with digital learning systems, and attention to the ethics and transparency of algorithms in data-based evaluation. Thus, this study emphasizes the importance of bridging the gap between algorithmic analysis and applicable educational strategies within higher education institutions.

This systematic review evaluates the impact of educational technology on learning outcomes in the higher education sector. With the rapid integration of digital tools in educational settings, understanding their effectiveness has become crucial. The paper's objective is to synthesize existing research findings to assess how educational technologies influence learning outcomes. We employed a comprehensive search strategy across multiple databases, including peer-reviewed journals and conference proceedings, to collect studies published in the last decade. The inclusion criteria focused on empirical studies that measured the impact of technologies such as learning management systems, online simulations, and digital collaborative tools on student learning outcomes in higher education. Our methodology involved a rigorous screening process, quality assessment, and data extraction, followed by a thematic synthesis of the findings. The review included a total of 47 studies, which were analyzed to identify patterns, themes, and gaps in the current literature. Key findings suggest that educational technology, when effectively integrated into teaching and learning processes, can enhance student engagement, improve knowledge retention, and foster higher-order thinking skills. However, the impact varies significantly depending on the type of technology used, pedagogical approach, and context of implementation. The review also highlights the importance of faculty training and support in maximizing the potential benefits of educational technologies. Educational technology holds promise for improving learning outcomes in higher education, but its success is contingent upon thoughtful implementation, pedagogical alignment, and ongoing support for instructors. Future research should focus on longitudinal studies to better understand the long-term effects of educational technologies on learning outcomes. Keywords: Educational Technology, Learning Outcomes, Higher Education, Digital Divide, Accessibility, Equity, Blended Learning, Virtual Reality, Artificial Intelligence, Mobile Learning, Pedagogical Approaches, Professional Development, Strategic Integration.

Metacognitive instructional strategies aim at enhancing the awareness of learners to their cognitive strategies so that they can plan, observe, and assess their learning strategies. These practices can change the focus on just accepting knowledge to self-regulated learning, which is a crucial skill in higher education, where critical thinking and problem solving are the keys to academic achievement and life-long education. The researcher seeks to examine the application and the efficacy of metacognitive instruction methods including self-questioning, reflection journaling, and think-aloud schemes on learning outcomes in higher education. The aims will be to determine the typical use of metacognitive instructional practices, assess their effects on student performance, and student perceptions of metacognitive instructional practices. The research design used was mixed-methods research design, integrating both quantitative and qualitative approaches to provide a comprehensive understanding of metacognitive teaching strategies and their impact on learning outcomes in higher education. The quantitative component examines the relationship between exposure to metacognitive strategies and academic performance, while the qualitative component explores in-depth perceptions and experiences of students and instructors. This dual approach enhances the validity and richness of the findings. The research design included a survey of 200 undergraduate students and in-depth interview of 20 faculty members of the university, of various disciplines. Quantitative data were analyzed using statistical tools to assess performance outcomes, while qualitative data provided insights into student and teacher experiences. The findings reveal a positive correlation between the use of metacognitive strategies and improved academic performance, motivation, and self-efficacy. Students exposed to metacognitive instruction demonstrated better critical thinking, problem-solving, and knowledge retention. Faculty reported enhanced classroom engagement and deeper learning. The study highlights the need for integrating metacognitive training into teacher education programs and curriculum design to foster independent, reflective learners in higher education.

This systematic review evaluates the impact of educational technology on learning outcomes in the higher education sector. With the rapid integration of digital tools in educational settings, understanding their effectiveness has become crucial. The paper's objective is to synthesize existing research findings to assess how educational technologies influence learning outcomes. We employed a comprehensive search strategy across multiple databases, including peer-reviewed journals and conference proceedings, to collect studies published in the last decade. The inclusion criteria focused on empirical studies that measured the impact of technologies such as learning management systems, online simulations, and digital collaborative tools on student learning outcomes in higher education. Our methodology involved a rigorous screening process, quality assessment, and data extraction, followed by a thematic synthesis of the findings. The review included a total of 47 studies, which were analyzed to identify patterns, themes, and gaps in the current literature. Key findings suggest that educational technology, when effectively integrated into teaching and learning processes, can enhance student engagement, improve knowledge retention, and foster higher-order thinking skills. However, the impact varies significantly depending on the type of technology used, pedagogical approach, and context of implementation. The review also highlights the importance of faculty training and support in maximizing the potential benefits of educational technologies. Educational technology holds promise for improving learning outcomes in higher education, but its success is contingent upon thoughtful implementation, pedagogical alignment, and ongoing support for instructors. Future research should focus on longitudinal studies to better understand the long-term effects of educational technologies on learning outcomes.

This study aims to analyze the effect of the blended learning science and technology community approach on student learning outcomes in higher education. The research design used in this study was quasi-experimental with The Matching-Only Post-test-Only Control Group Design. A total of 120 students participated in this study. Subjects were divided into 2 groups, namely the control group (K1) and the treatment group (K2). The instrument of learning outcomes items will first be tested for validity and reliability, then the learning outcomes data that have been obtained will be analyzed using the independent t-test method. The results of this study indicate that the data from the validity test items of the learning outcomes test instrument, out of 40 question items, there are 38 items that are declared valid. reliability test results with an alpha coefficient of 0.880 so that the learning outcomes test instrument is said to be reliable and consistent in data collection. The results of the t-test obtained P <0.05, meaning that there is a significant effect of blended learning with the science technology approach of society on learning outcomes. It can be concluded that blended learning with a community science technology approach can improve student learning outcomes in higher education. It is hoped that blended learning can be used and developed again in learning in higher education.

In order to define and accomplish learning outcomes in higher education, this study investigates the idea of transdisciplinary learning and its consequences. It explores how transdisciplinary techniques might improve students critical thinking, creativity, and problem-solving abilities by drawing on theoretical frameworks and practical data. It also discusses challenges and opportunities associated with implementing transdisciplinary approaches in higher education, including issues related to curriculum design, assessment methods, and institutional support structures. It highlights examples of successful transdisciplinary initiatives from various educational. This proposed book chapter seeks to explore the significance of transdisciplinary approaches in shaping learning outcomes in higher education settings. By offering insights into the theoretical foundations and practical implications of transdisciplinary approaches to learning outcomes, it aims to contribute ongoing discussions and debates surrounding curriculum development and educational innovation in higher education.

In mid-2010, the National Center for the Evaluation of Higher Education in Mexico (Ceneval) received an invitation from the German Federal Ministry of Education and Research (through the Johannes Gutenberg University at Mainz and Humboldt University) to deliver a keynote lecture about the operation of the Mexican Higher Education Exit Assessments Tests (EGEL) at a conference entitled "Modeling and Measurement of Competencies in Higher Education" that was held in Berlin in early 2011. The following lines present the highlights of that presentation.

Self‐directed learning is recognised as a key goal of higher education. To facilitate self‐directed learning, emotional intelligence (EI), which encompasses the ability to regulate one's own emotions and to generate positive emotions, is important. The present study aimed to examine the effects of EI on self‐directed learning and how EI and self‐directed learning contribute to key learning outcomes in higher education, including grade point average (GPA), generic learning outcomes (including social, cognitive and self‐growth outcomes) and students’ satisfaction with their university experience. The study adopted a prospective longitudinal design with 560 first‐year undergraduate students completing different measures at the beginning and end of the academic year. Results of the structural equation modelling showed that EI had a strong effect on self‐directed learning, which in turn was positively associated with GPA and various generic learning outcomes that are related to students’ satisfaction with the university experience. To better delineate the relationship between EI and self‐directed learning, multiple regression was performed. Results indicated that three key emotional abilities—emotional regulation of the self (ERS), appraisal of emotions in the self (AES) and emotional regulation of others (ERO)—were positively associated with self‐directed learning. This study provided empirical evidence that students who are more emotionally intelligent are more self‐directed, leading to higher achievement in both academic and generic development, which in turn results in higher university satisfaction. Implications of the findings are discussed.

Uptick of informatization and technologization of society, increased competition both in labor markets and in learning services have caused dramatic changes in higher education and have led to its reorientation from knowledge-centric to the competency-based learning paradigm. Developing and implementing flexible learning paradigm consider one of modern universities’ key priority within the European Higher Education Area. Since the main purpose of modern humanities is to form a conscious and responsible attitude of human being towards own learning and carrier in terms of dynamic changes, the issue of designing integral learning outcomes in higher education, technologization of competency acquisition and its further development in lifelong education becomes especially relevant. The study is aimed at a critical analysis of the modern experience in organizing the learning process on the competency-based approach, disclosing, exemplified by research competence, the end-to-end design technology of integral learning outcomes in the context of the triple system of learning professionals with academic degree.

Recently Mobile technology is considered an effective way to improve students' skills such as positive thinking, collaborative, communication, as well as it is considered the main part of major innovation in many e-learning research areas. As a result of the 21<sup>st.</sup> century requirements, skills were developed to address the rising needs in higher education which causes a shifting paradigm from the traditional methods of teaching to M-learning. In this research, we discuss the effect of using Mobile learning techniques to improve learning outcomes in Higher Education. We have implemented a web-based survey through two questionnaires. The questionnaires were distributed among 200 students in the second and third levels in the computer science department at both Community College and College of Arts and Science. This research explores a study on e-learning using mobile technology to identify students’ perceptions in the acceptance of mobile techniques and recognize the quality of mobile services for academic and social purposes to improve teaching strategy and learning performance in higher educational organizations. The outcomes of this research would support the evolution of M-learning at the university-level and cause shifting the traditional learning methods by merging M-learning methodologies as a learning management system that provides mobile learning services to students and teachers any time and from any location. The research study shows some important results towards the integration of mobile technology into teaching include: student positive perception, facilitates student concentrate, flexible access to m-services for learning materials, and increases students' skills in using mobile technology for e-learning.

Motivation is a core determinant of students’ academic engagement, persistence, and learning outcomes in higher education. This study investigates the effects of classroom teachers’ motivational practices on students’ learning outcomes in selected higher education institutions of South Punjab. Using a quantitative descriptive correlational design, the research sampled 50 teachers and 120 students through cluster sampling. Two structured Likert-scale questionnaires measured motivational practices, motivational climate, and student learning outcomes. Data analysis through SPSS included frequencies, mean scores, standard deviations, t-tests, and Pearson correlation coefficients. Descriptive results showed that teachers frequently use motivational practices such as praise, constructive feedback, fairness, reinforcement, and encouragement. Students agreed that these practices significantly enhanced their academic performance, classroom participation, and overall motivation. Inferential statistics revealed a strong positive correlation (r = .71, p < .01) between motivational practices and learning outcomes. Gender-based differences in perceptions were statistically insignificant. The study concludes that motivational practices have a substantial positive effect on students’ learning outcomes. It recommends institutional support for motivational training, reflective teaching, student-centered pedagogy, and motivational assessments in higher education.