Events

Upcoming

Illustrating photo
Time and place: Apr. 27, 2021 2:00 PM3:00 PM, https://uio.zoom.us/j/68122665526?pwd=Y04yR3NJd2pNcWkvbWY1NHBDOFY0dz09
Illustrating photo
Time and place: May 11, 2021 2:00 PM3:00 PM, https://uio.zoom.us/j/68122665526?pwd=Y04yR3NJd2pNcWkvbWY1NHBDOFY0dz09
Illustrating photo
Time and place: May 25, 2021 2:00 PM3:00 PM, https://uio.zoom.us/j/68122665526?pwd=Y04yR3NJd2pNcWkvbWY1NHBDOFY0dz09

Previous

Time and place: Apr. 13, 2021 2:00 PM3:00 PM, https://uio.zoom.us/j/68122665526?pwd=Y04yR3NJd2pNcWkvbWY1NHBDOFY0dz09

It would be a mistake to assume that students have learned the thing you just presented to them. Formative assessment is thus concerned with informing both the teacher and the student about how much students understand about a topic, and discover any misunderstandings.

Illustrating photo
Time and place: Mar. 16, 2021 2:00 PM3:00 PM, https://uio.zoom.us/j/68122665526?pwd=Y04yR3NJd2pNcWkvbWY1NHBDOFY0dz09
Illustrating photo
Time and place: Mar. 2, 2021 2:00 PM3:00 PM, https://uio.zoom.us/j/68122665526?pwd=Y04yR3NJd2pNcWkvbWY1NHBDOFY0dz09

The seminar will be in Norwegian: "Vi presenterer en modell for kompetanseheving i realfaglig programmering for lærere. Modellen tar for seg opplæring i programmering på fagenes premisser, og vi ser på hvordan en slik modell kan brukes for lærere i høyere utdanning."

Illustrating photo
Time and place: Feb. 16, 2021 2:00 PM3:00 PM, Join Zoom Meeting https://uio.zoom.us/j/68122665526?pwd=Y04yR3NJd2pNcWkvbWY1NHBDOFY0dz09

Computational thinking are by some defined as the capability to resolve problems algorithmically and logically, including skills related to representing, organizing and identifying patterns in data. This may be seen as leaning in a direction of discrete and observable processes. The Norwegian translation to "algoritmisk tenkning" can be read even clearer in the direction of defining explicit, deterministic instructions to achieve a well understood outcome. At the same time, computational thinking is not only promoted as a means to allow the development of concrete code/algorithms, but also as a way of thinking constructively about phenomena in a variety of fields. And it is clearly not the case that all phenomena in nature and society only involve discrete, directly observed entities - to the contrary, many relations and processes we may be interested in are continuous and probabilistic in their nature, where we have to constructively relate to risks, uncertainties and underlying patterns. An interesting question is whether the ability to devise algorithms to solve well defined problems and the ability to relate constructively to questions in an uncertain world should be seen as two aspects of the same skillset, or as separate skills that are cultivated through separate learning experiences.

Illustrating photo
Time and place: Dec. 1, 2020 2:00 PM3:00 PM, Join Zoom Meeting https://uio.zoom.us/j/61015798946?pwd=OUV2S2FBY2VGUUdacGExVFlyS1VPZz09

What do we mean by "learning programming", why do many find it challenging to learn, what are really the main challenges, which aspects do people in different settings need to learn and how do they best learn it? Geir Kjetil Sandve will give a brief introduction to a discussion where we look forward to hearing experiences and viewpoints inspired by the myriad settings where people in our environment have been involved in programming.

Illustrating photo
Time and place: Nov. 17, 2020 2:00 PM3:00 PM, Zoom:
Illustrating photo
Time and place: Nov. 3, 2020 2:00 PM3:00 PM, Zoom:

Tor Ole Odden:

"The field of educational research has a massive literature base, with many journals that have been publishing articles for almost a century (or longer). How do we sort through and make sense of literature at this scale? We have begun using an unsupervised machine learning technique from the field of natural language processing, known as latent Dirichlet allocation, to analyze articles from the fields of physics education research and science education research. This technique allows us to extract latent themes, or topics, from the literature and quantify the rise and fall of those topics over time.

In this talk, I will present the basics of the technique, describe some of its underlying theory and applications, and showcase some of the trends that it reveals in how science education theory and practice has evolved over the last 20-100 years." 

Time and place: Sep. 25, 2020 3:30 PM, Zoom

Doctoral candidate John Mark Aiken at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis "Understanding University Student Pathways Towards Graduation with Machine Learning and Institutional Data" for the degree of Philosophiae Doctor.

Image of Mark Guzdial and Barbara Ericson
Time and place: Mar. 2, 2020 12:15 PM2:00 PM, CCSE's seminar room Ø465, 4th floor, east

Computer science was originally invented as a tool to support learning in other disciplines, including engineering and economics. Today, most of computer science education is aimed at preparing future software developers. How do we broaden the appeal of and access to computer science education, to something closer to what the inventors of the field had in mind?

Foto: Lene Møller Madsen
Time and place: Feb. 24, 2020 12:15 PM1:00 PM, CCSE's seminar room Ø465, 4th floor, east

Practical work like laboratory work and fieldwork is integrated parts of many science educational programmes. However what do students learn through practical work?, and is it the same in different types of practical work?

Professor Matthew Berland
Time and place: Feb. 13, 2020 12:15 PM1:30 PM, CCSE's seminar room Ø465, 4th floor, east

The ScienceAtHome group at Aarhus University has developed a number of games and tools for quantum-physics-based citizen science and education. One of these tools, Quantum Composer, allows students and researchers to explore quantum mechanics in one dimension.

Professor Heather Lewandowski
Time and place: Feb. 10, 2020 12:15 PM1:30 PM, CCSE's seminar room Ø465, 4th floor, east

We have developed a framework to describe the modeling process in physics laboratory activities.

Professor Matthew Berland
Time and place: Jan. 27, 2020 12:15 PM1:30 PM, CCSE's seminar room Ø465, 4th floor, east

This talk investigates what it means to learn computer science content, how we might better support computer science learning, and how we might better understand what learners know.

Time and place: Dec. 16, 2019 1:00 PM7:00 PM, CCSE's seminar room Ø465, 4th floor, east
Picture of Dr. Paul Irving
Time and place: Dec. 13, 2019 12:15 PM1:30 PM, CCSE's seminar room Ø465, 4th floor, east

The presentation touches on learning goals, assessment, and teaching practices around computation and discusses research that has been carried out in the context of P-Cubed that has informed our thinking and resulted in iterations on our design. 

Picture of Matter & Interactions book
Time and place: Dec. 9, 2019 12:15 PM2:00 PM, CCSE's seminar room Ø465, 4th floor, east

A curriculum for the introductory calculus-based course taken by beginning university science and engineering students, takes a contemporary perspective on introductory-level physics.

Image may contain: Man, Face, Chin, Forehead, Head.
Time and place: Nov. 11, 2019 12:15 PM1:00 PM, CCSE's seminar room, 4th floor, east

Although quantitative approaches to data generation, collection and analysis are common in physics education research (PER), they are frequently misunderstood even among veteran scholars in the field.

Time and place: Nov. 4, 2019 12:15 PM1:00 PM, CCSE's seminar room, 4th floor, east

New trends in physics education stress the importance of an inquiry based learning. Arduino and smartphones make it possible for every student to perform quantitative, precise and instructive experiments, even at home. Both tools can be exploited at universities as well as in high schools and are complementary to each other.

Picture of Valerie Peterson
Time and place: Oct. 14, 2019 12:15 PM1:10 PM, CCSE's seminar room

In this session, we describe how peer observation can be used to promote lasting adoption of evidence-based instructional practices.

Image may contain: Woman, Face, Hair, Eyebrow, Facial expression.
Time and place: Oct. 7, 2019 12:15 PM1:00 PM, CCSE's seminar room

Sociologists and historians of science/engineering have documented the salience of meritocracy and technocracy in engineering and engineering education (Cech, 2014; Slaton, 2015; Riley, 2008). Meritocracy, a problematic worldview, conveys that “worth” accrues with an individual based solely on their own accomplishment.

Time and place: Sep. 24, 2019 1:00 PM2:00 PM, CCSEs seminar room

Counting problems have been shown to be challenging for students to solve correctly, and one reason is that they can be difficult to verify (e.g., Eizenberg & Zaslavsky, 2004).

Image may contain: facial expression, smile, male, chin, forehead.
Time and place: Sep. 23, 2019 11:15 AM12:00 PM, CCSEs seminar room

In response to the growing emphasis on computational thinking in K-12 education standards and modern science professions, our research team designed a year-long professional development series for high school physics teachers to learn how to program and utilize computer simulations in their curricula.