A5005004918- Intelligent Tutoring Systems and Adaptive Learning
- Entrepreneurship Studies and Influences
- Family Business Performance and Succession
- Machine Learning in Healthcare
- Pesticide Residue Analysis and Safety
- Innovations in Educational Methods
- Experimental Learning in Engineering
- Toxic Organic Pollutants Impact
- Educational Games and Gamification
- Spectroscopy and Chemometric Analyses
- Innovation and Socioeconomic Development
- Auditing, Earnings Management, Governance
- Complex Network Analysis Techniques
- Digital Games and Media
- Misinformation and Its Impacts
- Management and Marketing Education
- Private Equity and Venture Capital
- Vestibular and auditory disorders
- Knowledge Societies in the 21st Century
- Accounting Education and Careers
- Spreadsheets and End-User Computing
- Analog and Mixed-Signal Circuit Design
- Corporate Social Responsibility Reporting
- Air Quality and Health Impacts
- Advanced MEMS and NEMS Technologies
Universitat Ramon Llull
2009-2022
Institut Químic de Sarrià
2009-2020
FC Barcelona
2020
Remote laboratories give students the opportunity of experimenting in STEM by using Internet to control and measure an experimental setting. are increasingly used classroom complement, or substitute for, hands-on laboratories, so it is important know its learning value. While many authors approach this question through qualitative analyses, paper reports a replicated quantitative study that evaluates teaching performance one these resources, virtual instrument systems reality (VISIR) remote...
The public image of chemistry is a relevant issue for chemical stakeholders. It has been studied throughout history by means document analysis and more recently through surveys. Twitter, worldwide online social network, based on spontaneous opinions. We tried to identify the perception what it explains, which sentiments are perceived. gathered 256 833 tweets between 1st January 2015 30th June containing words “chemistry”, “chemical” or “chem”. cleaned filtered them down 50 725 with textual...
Bayesian Knowledge Tracing (BKT) is one of the most popular knowledge inference models due to its interpretability and ability infer student knowledge. A proper modeling can help guide behavior a cognitive tutor system provide insight researchers on understanding how students learn. Using four different datasets we study relationship between error coming from fitting parameters difficulty index skills effect size dataset in this relationship. The be very easy modeled might indicating some...
In order to reduce the calculation effort during simulation of emission polychlorinated dibenzo-p-dioxins and furans (PCDD/F) municipal solid waste incineration, minimizing number simulated components is mandatory. For this purpose, two new multilinear regression models capable determining dioxins total amount toxicity an atmospheric have been adjusted based on previously published ones. The source data used (almost 200 PCDD/F analyses) provides a wider range application models, increasing...
This paper summarizes the results of using two Excel-based simulations run on a cost accounting course to instruct about contribution margin. Students' learning has been assessed achievement tests and analyzing traces. Conclusions research are: students stayed active, focused their work key actions, worked where instructor wanted them work; there was knowledge acquisition since provide evidence learning; activity well-accepted by students.
This paper summarizes the results of using an Excel-based simulation run on a finance course. The activity intends to instruct students that firms with negative cash cycle and working capital needs do not have borrow short term bank debt because growth in sales provide funds spontaneously. Students' learning has been assessed achievement tests analyzing traces. Conclusions research are: stayed active, focused their work key actions, worked where instructor wanted them work; there was...