The purpose of this study was to investigate relations between goal orientations, information processing strategies and development of conceptual knowledge of pre-vocational secondary education students (n=719; 14 schools). Students' preferences for certain types of goals and information processing strategies were examined using questionnaires. Conceptual knowledge was investigated by having students create concept maps before and after a learning project. Structural analyses showed that student preferences for mastery and performance goals positively affected their preferences for the use of deep and surface information processing strategies. Preferences for work avoidance goals negatively influenced preferences for deep and surface processing. Use of surface information processing strategies negatively affected the development of conceptual knowledge. Remarkably, no relation was found between students' preferences for deep processing strategies and development of conceptual knowledge.
LINK
The preference of students in competence-based Pre-Vocational Secondary Education (PVSE) for information processing strategies and the development of their body of knowledge were measured in a study that was carried out with 31 participants. The students' information processing strategies were measured by means of semi-structured interviews, questionnaires and think-aloud sessions. 26 of the 31 participants had a preference for surface processing strategies when working in workplace simulation. The other 5 students preferred deep learning. The learning environment appeared to elicit this surface level processing. The development of the body of knowledge of the students was measured by means of the concept mapping technique. For most students, an improvement of the body of knowledge took place in the course of the project in workplace simulation that was researched. Their knowledge became more elaborate and better organized. No significant relations between information processing strategies and the development of the concept maps could be found for the students participating in the research.
DOCUMENT
The preference of students in competence-based Pre-Vocational Secondary Education (PVSE) for information processing strategies and the development of their body of knowledge were measured in a study that was carried out with 31 participants. The students' information processing strategies were measured by means of semi-structured interviews, questionnaires and think-aloud sessions. 26 of the 31 participants had a preference for surface processing strategies when working in workplace simulation. The other 5 students preferred deep learning. The learning environment appeared to elicit this surface level processing. The development of the body of knowledge of the students was measured by means of the concept mapping technique. For most students, an improvement of the body of knowledge took place in the course of the project in workplace simulation that was researched. Their knowledge became more elaborate and better organized. No significant relations between information processing strategies and the development of the concept maps could be found for the students participating in the research.
DOCUMENT
Information problem solving skills are vital for academic success, yet many higher education students struggle with effective information processing. While previous research broadly addresses information literacy, little is known about the specific factors that influence students' processing abilities. This study explores these factors by examining student performance during a complex academic task. Using a grounded theory approach, data were collected through semi-structured interviews with nine undergraduate students and analyzed via constant comparative analysis. Four key factors emerged: (1) prior domain knowledge enhances evaluation efficiency, (2) affective factors such as motivation strongly impact performance, (3) task complexity and cognitive load management strategies interact, and (4) external support structures matter—though librarians were notably absent as a perceived resource. These findings highlight the need for academic libraries to better align their services with students' actual information processing challenges. Practical implications include promoting whole-task iterative practice, embedding just-in-time support in domain-specific contexts, and addressing affective as well as technical skill development. By focusing on these four factors, academic libraries can more effectively support students. This study contributes to both the theoretical understanding of information processing in higher education and the development of evidence-based strategies to enhance library support.
MULTIFILE
Social media firestorms pose a significant challenge for firms in the digital age. Tackling firestorms is difficult because the judgments and responses from social media users are influenced by not only the nature of the transgressions but also by the reactions and opinions of other social media users. Drawing on the heuristic-systematic information processing model, we propose a research model to explain the effects of social impact (the heuristic mode) and argument quality and moral intensity (the systematic mode) on perceptions of firm wrongness (the judgment outcome) as well as the effects of perceptions of firm wrongness on vindictive complaining and patronage reduction. We adopted a mixed methods approach in our investigation, including a survey, an experiment, and a focus group study. Our findings show that the heuristic and systematic modes of information processing exert both direct and interaction effects on individuals’ judgment. Specifically, the heuristic mode of information processing dominates overall and also biases the systematic mode. Our study advances the literature by offering an alternative explanation for the emergence of social media firestorms and identifying a novel context in which the heuristic mode dominates in dual information processing. It also sheds light on the formulation of response strategies to mitigate the adverse impacts resulting from social media firestorms. We conclude our paper with limitations and future research directions.
DOCUMENT
Information problem solving skills are vital for academic success, yet many higher education students struggle with effective information processing. While previous research broadly addresses information literacy, little is known about the specific factors that influence students’ processing abilities. This study explores these factors by examining student performance during a complex academic task. Using a grounded theory approach, data were collected through semi-structured interviews with nine undergraduate students and analyzed via constant comparative analysis. Four key factors emerged: (1) prior domain knowledge enhances evaluation efficiency, (2) affective factors such as motivation strongly impact performance, (3) task complexity and cognitive load management strategies interact, and (4) external support structures matter—though librarians were notably absent as a perceived resource. These findings highlight the need for academic libraries to better align their services with students’ actual information processing challenges. Practical implications include promoting whole-task iterative practice, embedding just-in-time support in domain-specific contexts, and addressing affective as well as technical skill development. By focusing on these four factors, academic libraries can more effectively support students. This study contributes to both the theoretical understanding of information processing in higher education and the development of evidence-based strategies to enhance library support.
LINK
The purpose of this study was to validate a causal and hierarchical model that describes the relations between goal orientations, information processing strategies and development of conceptual knowledge of pre-vocational secondary education-students (n=719; 14 schools). Preferences of students for certain types of goals and information processing strategies were examined using questionnaires. The development of conceptual knowledge was investigated by having students create concept maps before and after a learning situation (e.g. a project). Results of causal and hierarchical analyses showed that students' preferences for mastery and performance goals positively affected their preferences for using deep information processing strategies. Performance of surface information processing strategies had a negative effect on the development of conceptual knowledge.
DOCUMENT
To study the ways in which compounds can induce adverse effects, toxicologists have been constructing Adverse Outcome Pathways (AOPs). An AOP can be considered as a pragmatic tool to capture and visualize mechanisms underlying different types of toxicity inflicted by any kind of stressor, and describes the interactions between key entities that lead to the adverse outcome on multiple biological levels of organization. The construction or optimization of an AOP is a labor intensive process, which currently depends on the manual search, collection, reviewing and synthesis of available scientific literature. This process could however be largely facilitated using Natural Language Processing (NLP) to extract information contained in scientific literature in a systematic, objective, and rapid manner that would lead to greater accuracy and reproducibility. This would support researchers to invest their expertise in the substantive assessment of the AOPs by replacing the time spent on evidence gathering by a critical review of the data extracted by NLP. As case examples, we selected two frequent adversities observed in the liver: namely, cholestasis and steatosis denoting accumulation of bile and lipid, respectively. We used deep learning language models to recognize entities of interest in text and establish causal relationships between them. We demonstrate how an NLP pipeline combining Named Entity Recognition and a simple rules-based relationship extraction model helps screen compounds related to liver adversities in the literature, but also extract mechanistic information for how such adversities develop, from the molecular to the organismal level. Finally, we provide some perspectives opened by the recent progress in Large Language Models and how these could be used in the future. We propose this work brings two main contributions: 1) a proof-of-concept that NLP can support the extraction of information from text for modern toxicology and 2) a template open-source model for recognition of toxicological entities and extraction of their relationships. All resources are openly accessible via GitHub (https://github.com/ontox-project/en-tox).
DOCUMENT
In the digital age, information problem solving (IPS) competence is essential for professionals to use online information effectively. Despite its importance, starting professionals often struggle with processing and presenting information, which are critical phases during authentic IPS tasks. Therefore, higher education institutions are tasked with preparing students to navigate these complex phases of IPS after graduation. However, most previous studies have focused on the “search” and “select” phases of simple, short-duration IPS tasks, which do not reflect the complex information challenges faced in professional settings. To address this gap, this study aimed to identify and categorize the strategies higher education students currently use to process and present information for a semester-long authentic professional task. A thematic analysis of cued retrospective reporting sessions was conducted with 24 senior students while they created a website for professional practice. Students demonstrated 49 IPS strategies, which were categorized into twelve IPS activities across three generic activity phases: “process,” “synthesize,” and “create.” Within these phases, three patterns of co-occurring strategies were observed: reproductive, arranging, and elaborative. Based on these findings, existing IPS process models were empirically refined. The observed variation in strategies highlights the importance of building on students’ strengths when teaching IPS. Teaching them to adapt the strategies to various authentic task contexts could help enhance students’ IPS competence and strategic flexibility in real-world settings. Future research should explore the applicability of the updated IPS model across different authentic task contexts to refine instructional approaches further.
LINK
The purpose of this study was to investigate relations between goal orientations, information processing strategies and development of conceptual knowledge of pre-vocational secondary education students (n=719; 14 schools). Student preferences for certain types of goals and information processing strategies were examined using questionnaires. Conceptual knowledge was investigated by having students create concept maps before and after a learning project. Structural and hierarchical analyses show that student preferences for mastery and performance goals positively affected their preferences for the use of deep information processing strategies. Use of surface information processing strategies negatively affected the development of conceptual knowledge.
DOCUMENT
